diff --git a/packages/vchart-extension/__tests__/runtime/browser/test-page/scatter-regression-line/group.ts b/packages/vchart-extension/__tests__/runtime/browser/test-page/scatter-regression-line/group.ts
new file mode 100644
index 0000000000..9dc1511784
--- /dev/null
+++ b/packages/vchart-extension/__tests__/runtime/browser/test-page/scatter-regression-line/group.ts
@@ -0,0 +1,190 @@
+import { registerRegressionLine } from '../../../../../src/components/regression-line/regression-line';
+import { appendScatterRegressionLineConfig } from './../../../../../src/components/scatter-regression-line';
+import { default as VChart } from '@visactor/vchart';
+
+const data = [
+  { continent: 'Americas', Country: 'Argentina', LifeExpectancy: 75.32, GDP: 12779.37964, Population: 40301927 },
+  { continent: 'Americas', Country: 'Brazil', LifeExpectancy: 72.39, GDP: 9065.800825, Population: 190010647 },
+  { continent: 'Americas', Country: 'Canada', LifeExpectancy: 80.653, GDP: 36319.23501, Population: 33390141 },
+  { continent: 'Americas', Country: 'Chile', LifeExpectancy: 78.553, GDP: 13171.63885, Population: 16284741 },
+  { continent: 'Americas', Country: 'Colombia', LifeExpectancy: 72.889, GDP: 7006.580419, Population: 44227550 },
+  { continent: 'Americas', Country: 'Costa Rica', LifeExpectancy: 78.782, GDP: 9645.06142, Population: 4133884 },
+  { continent: 'Americas', Country: 'Cuba', LifeExpectancy: 78.273, GDP: 8948.102923, Population: 11416987 },
+  {
+    continent: 'Americas',
+    Country: 'Dominican Republic',
+    LifeExpectancy: 72.235,
+    GDP: 6025.374752,
+    Population: 9319622
+  },
+  { continent: 'Americas', Country: 'Ecuador', LifeExpectancy: 74.994, GDP: 6873.262326, Population: 13755680 },
+  { continent: 'Americas', Country: 'El Salvador', LifeExpectancy: 71.878, GDP: 5728.353514, Population: 6939688 },
+  { continent: 'Americas', Country: 'Guatemala', LifeExpectancy: 70.259, GDP: 5186.050003, Population: 12572928 },
+  { continent: 'Americas', Country: 'Honduras', LifeExpectancy: 70.198, GDP: 3548.330846, Population: 7483763 },
+  { continent: 'Americas', Country: 'Jamaica', LifeExpectancy: 72.567, GDP: 7320.880262, Population: 2780132 },
+  { continent: 'Americas', Country: 'Mexico', LifeExpectancy: 76.195, GDP: 11977.57496, Population: 108700891 },
+  { continent: 'Americas', Country: 'Nicaragua', LifeExpectancy: 72.899, GDP: 2749.320965, Population: 5675356 },
+  { continent: 'Americas', Country: 'Panama', LifeExpectancy: 75.537, GDP: 9809.185636, Population: 3242173 },
+  { continent: 'Americas', Country: 'Paraguay', LifeExpectancy: 71.752, GDP: 4172.838464, Population: 6667147 },
+  { continent: 'Americas', Country: 'Peru', LifeExpectancy: 71.421, GDP: 7408.905561, Population: 28674757 },
+  { continent: 'Americas', Country: 'Puerto Rico', LifeExpectancy: 78.746, GDP: 19328.70901, Population: 3942491 },
+  {
+    continent: 'Americas',
+    Country: 'Trinidad and Tobago',
+    LifeExpectancy: 69.819,
+    GDP: 18008.50924,
+    Population: 1056608
+  },
+  { continent: 'Americas', Country: 'United States', LifeExpectancy: 78.242, GDP: 42951.65309, Population: 301139947 },
+  { continent: 'Americas', Country: 'Uruguay', LifeExpectancy: 76.384, GDP: 10611.46299, Population: 3447496 },
+  { continent: 'Americas', Country: 'Venezuela', LifeExpectancy: 73.747, GDP: 11415.80569, Population: 26084662 },
+  { continent: 'Asia', Country: 'China', LifeExpectancy: 72.961, GDP: 4959.114854, Population: 1318683096 },
+  { continent: 'Asia', Country: 'Hong Kong, China', LifeExpectancy: 82.208, GDP: 39724.97867, Population: 6980412 },
+  { continent: 'Asia', Country: 'Japan', LifeExpectancy: 82.603, GDP: 31656.06806, Population: 127467972 },
+  { continent: 'Asia', Country: 'Korea, Dem. Rep.', LifeExpectancy: 67.297, GDP: 1593.06548, Population: 23301725 },
+  { continent: 'Asia', Country: 'Korea, Rep.', LifeExpectancy: 78.623, GDP: 23348.13973, Population: 49044790 },
+  { continent: 'Europe', Country: 'Albania', LifeExpectancy: 76.423, GDP: 5937.029526, Population: 3600523 },
+  { continent: 'Europe', Country: 'Austria', LifeExpectancy: 79.829, GDP: 36126.4927, Population: 8199783 },
+  { continent: 'Europe', Country: 'Belgium', LifeExpectancy: 79.441, GDP: 33692.60508, Population: 10392226 },
+  {
+    continent: 'Europe',
+    Country: 'Bosnia and Herzegovina',
+    LifeExpectancy: 74.852,
+    GDP: 7446.298803,
+    Population: 4552198
+  },
+  { continent: 'Europe', Country: 'Bulgaria', LifeExpectancy: 73.005, GDP: 10680.79282, Population: 7322858 },
+  { continent: 'Europe', Country: 'Croatia', LifeExpectancy: 75.748, GDP: 14619.22272, Population: 4493312 },
+  { continent: 'Europe', Country: 'Czech Republic', LifeExpectancy: 76.486, GDP: 22833.30851, Population: 10228744 },
+  { continent: 'Europe', Country: 'Denmark', LifeExpectancy: 78.332, GDP: 35278.41874, Population: 5468120 },
+  { continent: 'Europe', Country: 'Finland', LifeExpectancy: 79.313, GDP: 33207.0844, Population: 5238460 },
+  { continent: 'Europe', Country: 'France', LifeExpectancy: 80.657, GDP: 30470.0167, Population: 61083916 },
+  { continent: 'Europe', Country: 'Germany', LifeExpectancy: 79.406, GDP: 32170.37442, Population: 82400996 },
+  { continent: 'Europe', Country: 'Greece', LifeExpectancy: 79.483, GDP: 27538.41188, Population: 10706290 },
+  { continent: 'Europe', Country: 'Hungary', LifeExpectancy: 73.338, GDP: 18008.94444, Population: 9956108 },
+  { continent: 'Europe', Country: 'Iceland', LifeExpectancy: 81.757, GDP: 36180.78919, Population: 301931 },
+  { continent: 'Europe', Country: 'Ireland', LifeExpectancy: 78.885, GDP: 40675.99635, Population: 4109086 },
+  { continent: 'Europe', Country: 'Italy', LifeExpectancy: 80.546, GDP: 28569.7197, Population: 58147733 },
+  { continent: 'Europe', Country: 'Montenegro', LifeExpectancy: 74.543, GDP: 9253.896111, Population: 684736 },
+  { continent: 'Europe', Country: 'Netherlands', LifeExpectancy: 79.762, GDP: 36797.93332, Population: 16570613 },
+  { continent: 'Europe', Country: 'Norway', LifeExpectancy: 80.196, GDP: 49357.19017, Population: 4627926 },
+  { continent: 'Europe', Country: 'Poland', LifeExpectancy: 75.563, GDP: 15389.92468, Population: 38518241 },
+  { continent: 'Europe', Country: 'Portugal', LifeExpectancy: 78.098, GDP: 20509.64777, Population: 10642836 },
+  { continent: 'Europe', Country: 'Romania', LifeExpectancy: 72.476, GDP: 10808.47561, Population: 22276056 },
+  { continent: 'Europe', Country: 'Serbia', LifeExpectancy: 74.002, GDP: 9786.534714, Population: 10150265 },
+  { continent: 'Europe', Country: 'Slovak Republic', LifeExpectancy: 74.663, GDP: 18678.31435, Population: 5447502 },
+  { continent: 'Europe', Country: 'Slovenia', LifeExpectancy: 77.926, GDP: 25768.25759, Population: 2009245 },
+  { continent: 'Europe', Country: 'Spain', LifeExpectancy: 80.941, GDP: 28821.0637, Population: 40448191 },
+  { continent: 'Europe', Country: 'Sweden', LifeExpectancy: 80.884, GDP: 33859.74835, Population: 9031088 },
+  { continent: 'Europe', Country: 'Switzerland', LifeExpectancy: 81.701, GDP: 37506.41907, Population: 7554661 },
+  { continent: 'Europe', Country: 'Turkey', LifeExpectancy: 71.777, GDP: 8458.276384, Population: 71158647 },
+  { continent: 'Europe', Country: 'United Kingdom', LifeExpectancy: 79.425, GDP: 33203.26128, Population: 60776238 },
+  { continent: 'Oceania', Country: 'Australia', LifeExpectancy: 81.235, GDP: 34435.36744, Population: 20434176 },
+  { continent: 'Oceania', Country: 'New Zealand', LifeExpectancy: 80.204, GDP: 25185.00911, Population: 4115771 }
+];
+
+function logScale(value, domain, range) {
+  // 计算域和范围的对数
+  const logDomain = domain.map(x => (x !== 0 ? Math.log10(x) : 0));
+  const logRange = range.map(x => Math.log10(x));
+
+  // 计算值在域内的位置，将其映射到范围内
+  const t = (Math.log10(value) - logDomain[0]) / (logDomain[1] - logDomain[0]);
+  const newValue = (logRange[1] - logRange[0]) * t + logRange[0];
+
+  // 返回映射后的值，还原对数缩放
+  return Math.pow(10, newValue);
+}
+
+// 图表配置
+const spec = {
+  type: 'common',
+  series: [
+    {
+      type: 'scatter',
+      xField: 'GDP',
+      yField: 'LifeExpectancy',
+      seriesField: 'continent',
+      sizeField: 'Population',
+      size: d => logScale(d.Population, [0, Math.max(...data.map(d => d.Population))], [1, 20])
+    }
+  ],
+  crosshair: {
+    yField: {
+      visible: true,
+      line: { visible: true, type: 'line' },
+      label: {
+        visible: true // label 默认关闭
+      }
+    },
+    xField: {
+      visible: true,
+      line: { visible: true, type: 'line' },
+      label: {
+        visible: true // label 默认关闭
+      }
+    }
+  },
+
+  data: [
+    {
+      id: 'data',
+      values: data
+    }
+  ],
+  axes: [
+    {
+      orient: 'left',
+      type: 'linear',
+      range: {
+        min: Math.min(...data.map(d => d.LifeExpectancy)),
+        max: Math.max(...data.map(d => d.LifeExpectancy))
+      },
+      title: {
+        visible: true,
+        text: 'LifeExpectancy'
+      },
+      domainLine: {
+        visible: true
+      }
+    },
+    {
+      orient: 'bottom',
+      type: 'linear',
+      title: {
+        visible: true,
+        text: 'GDP'
+      },
+      domainLine: {
+        visible: true
+      }
+    }
+  ],
+  legends: [
+    {
+      visible: true,
+      orient: 'right'
+    }
+  ],
+  regressionLine: {
+    type: 'linear'
+  }
+};
+
+const run = () => {
+  registerRegressionLine();
+  appendScatterRegressionLineConfig(spec);
+
+  const cs = new VChart(spec, {
+    dom: document.getElementById('chart') as HTMLElement,
+    //theme: 'dark',
+    onError: err => {
+      console.error(err);
+    }
+  });
+
+  cs.renderSync();
+
+  window['vchart'] = cs;
+};
+run();
diff --git a/packages/vchart-extension/__tests__/runtime/browser/test-page/scatter-regression-line/linear.ts b/packages/vchart-extension/__tests__/runtime/browser/test-page/scatter-regression-line/linear.ts
index 66d451d323..af3755dd03 100644
--- a/packages/vchart-extension/__tests__/runtime/browser/test-page/scatter-regression-line/linear.ts
+++ b/packages/vchart-extension/__tests__/runtime/browser/test-page/scatter-regression-line/linear.ts
@@ -523,13 +523,11 @@ const run = () => {
       polynomialDegree: 3,
       line: {
         style: {
-          stroke: 'green',
           lineWidth: 2
         }
       },
       confidenceInterval: {
         style: {
-          fill: 'green',
           fillOpacity: 0.2
         }
       },
diff --git a/packages/vchart-extension/__tests__/runtime/browser/test-page/scatter-regression-line/logistic.ts b/packages/vchart-extension/__tests__/runtime/browser/test-page/scatter-regression-line/logistic.ts
new file mode 100644
index 0000000000..df935dec91
--- /dev/null
+++ b/packages/vchart-extension/__tests__/runtime/browser/test-page/scatter-regression-line/logistic.ts
@@ -0,0 +1,526 @@
+import { registerRegressionLine } from '../../../../../src/components/regression-line/regression-line';
+import { appendScatterRegressionLineConfig } from '../../../../../src/components/scatter-regression-line';
+import { default as VChart } from '@visactor/vchart';
+
+const data = [
+  { name: 'chevrolet chevelle malibu', milesPerGallon: 18, cylinders: 8, horsepower: 130 },
+  { name: 'buick skylark 320', milesPerGallon: 15, cylinders: 8, horsepower: 165 },
+  { name: 'plymouth satellite', milesPerGallon: 18, cylinders: 8, horsepower: 150 },
+  { name: 'amc rebel sst', milesPerGallon: 16, cylinders: 8, horsepower: 150 },
+  { name: 'ford torino', milesPerGallon: 17, cylinders: 8, horsepower: 140 },
+  { name: 'ford galaxie 500', milesPerGallon: 15, cylinders: 8, horsepower: 198 },
+  { name: 'chevrolet impala', milesPerGallon: 14, cylinders: 8, horsepower: 220 },
+  { name: 'plymouth fury iii', milesPerGallon: 14, cylinders: 8, horsepower: 215 },
+  { name: 'pontiac catalina', milesPerGallon: 14, cylinders: 8, horsepower: 225 },
+  { name: 'amc ambassador dpl', milesPerGallon: 15, cylinders: 8, horsepower: 190 },
+  { name: 'citroen ds-21 pallas', milesPerGallon: 0, cylinders: 4, horsepower: 115 },
+  { name: 'chevrolet chevelle concours (sw)', milesPerGallon: 0, cylinders: 8, horsepower: 165 },
+  { name: 'ford torino (sw)', milesPerGallon: 0, cylinders: 8, horsepower: 153 },
+  { name: 'plymouth satellite (sw)', milesPerGallon: 0, cylinders: 8, horsepower: 175 },
+  { name: 'amc rebel sst (sw)', milesPerGallon: 0, cylinders: 8, horsepower: 175 },
+  { name: 'dodge challenger se', milesPerGallon: 15, cylinders: 8, horsepower: 170 },
+  { name: "plymouth 'cuda 340", milesPerGallon: 14, cylinders: 8, horsepower: 160 },
+  { name: 'ford mustang boss 302', milesPerGallon: 0, cylinders: 8, horsepower: 140 },
+  { name: 'chevrolet monte carlo', milesPerGallon: 15, cylinders: 8, horsepower: 150 },
+  { name: 'buick estate wagon (sw)', milesPerGallon: 14, cylinders: 8, horsepower: 225 },
+  { name: 'toyota corona mark ii', milesPerGallon: 24, cylinders: 4, horsepower: 95 },
+  { name: 'plymouth duster', milesPerGallon: 22, cylinders: 6, horsepower: 95 },
+  { name: 'amc hornet', milesPerGallon: 18, cylinders: 6, horsepower: 97 },
+  { name: 'ford maverick', milesPerGallon: 21, cylinders: 6, horsepower: 85 },
+  { name: 'datsun pl510', milesPerGallon: 27, cylinders: 4, horsepower: 88 },
+  { name: 'volkswagen 1131 deluxe sedan', milesPerGallon: 26, cylinders: 4, horsepower: 46 },
+  { name: 'peugeot 504', milesPerGallon: 25, cylinders: 4, horsepower: 87 },
+  { name: 'audi 100 ls', milesPerGallon: 24, cylinders: 4, horsepower: 90 },
+  { name: 'saab 99e', milesPerGallon: 25, cylinders: 4, horsepower: 95 },
+  { name: 'bmw 2002', milesPerGallon: 26, cylinders: 4, horsepower: 113 },
+  { name: 'amc gremlin', milesPerGallon: 21, cylinders: 6, horsepower: 90 },
+  { name: 'ford f250', milesPerGallon: 10, cylinders: 8, horsepower: 215 },
+  { name: 'chevy c20', milesPerGallon: 10, cylinders: 8, horsepower: 200 },
+  { name: 'dodge d200', milesPerGallon: 11, cylinders: 8, horsepower: 210 },
+  { name: 'hi 1200d', milesPerGallon: 9, cylinders: 8, horsepower: 193 },
+  { name: 'datsun pl510', milesPerGallon: 27, cylinders: 4, horsepower: 88 },
+  { name: 'chevrolet vega 2300', milesPerGallon: 28, cylinders: 4, horsepower: 90 },
+  { name: 'toyota corona', milesPerGallon: 25, cylinders: 4, horsepower: 95 },
+  { name: 'ford pinto', milesPerGallon: 25, cylinders: 4, horsepower: 0 },
+  { name: 'volkswagen super beetle 117', milesPerGallon: 0, cylinders: 4, horsepower: 48 },
+  { name: 'amc gremlin', milesPerGallon: 19, cylinders: 6, horsepower: 100 },
+  { name: 'plymouth satellite custom', milesPerGallon: 16, cylinders: 6, horsepower: 105 },
+  { name: 'chevrolet chevelle malibu', milesPerGallon: 17, cylinders: 6, horsepower: 100 },
+  { name: 'ford torino 500', milesPerGallon: 19, cylinders: 6, horsepower: 88 },
+  { name: 'amc matador', milesPerGallon: 18, cylinders: 6, horsepower: 100 },
+  { name: 'chevrolet impala', milesPerGallon: 14, cylinders: 8, horsepower: 165 },
+  { name: 'pontiac catalina brougham', milesPerGallon: 14, cylinders: 8, horsepower: 175 },
+  { name: 'ford galaxie 500', milesPerGallon: 14, cylinders: 8, horsepower: 153 },
+  { name: 'plymouth fury iii', milesPerGallon: 14, cylinders: 8, horsepower: 150 },
+  { name: 'dodge monaco (sw)', milesPerGallon: 12, cylinders: 8, horsepower: 180 },
+  { name: 'ford country squire (sw)', milesPerGallon: 13, cylinders: 8, horsepower: 170 },
+  { name: 'pontiac safari (sw)', milesPerGallon: 13, cylinders: 8, horsepower: 175 },
+  { name: 'amc hornet sportabout (sw)', milesPerGallon: 18, cylinders: 6, horsepower: 110 },
+  { name: 'chevrolet vega (sw)', milesPerGallon: 22, cylinders: 4, horsepower: 72 },
+  { name: 'pontiac firebird', milesPerGallon: 19, cylinders: 6, horsepower: 100 },
+  { name: 'ford mustang', milesPerGallon: 18, cylinders: 6, horsepower: 88 },
+  { name: 'mercury capri 2000', milesPerGallon: 23, cylinders: 4, horsepower: 86 },
+  { name: 'opel 1900', milesPerGallon: 28, cylinders: 4, horsepower: 90 },
+  { name: 'peugeot 304', milesPerGallon: 30, cylinders: 4, horsepower: 70 },
+  { name: 'fiat 124b', milesPerGallon: 30, cylinders: 4, horsepower: 76 },
+  { name: 'toyota corolla 1200', milesPerGallon: 31, cylinders: 4, horsepower: 65 },
+  { name: 'datsun 1200', milesPerGallon: 35, cylinders: 4, horsepower: 69 },
+  { name: 'volkswagen model 111', milesPerGallon: 27, cylinders: 4, horsepower: 60 },
+  { name: 'plymouth cricket', milesPerGallon: 26, cylinders: 4, horsepower: 70 },
+  { name: 'toyota corona hardtop', milesPerGallon: 24, cylinders: 4, horsepower: 95 },
+  { name: 'dodge colt hardtop', milesPerGallon: 25, cylinders: 4, horsepower: 80 },
+  { name: 'volkswagen type 3', milesPerGallon: 23, cylinders: 4, horsepower: 54 },
+  { name: 'chevrolet vega', milesPerGallon: 20, cylinders: 4, horsepower: 90 },
+  { name: 'ford pinto runabout', milesPerGallon: 21, cylinders: 4, horsepower: 86 },
+  { name: 'chevrolet impala', milesPerGallon: 13, cylinders: 8, horsepower: 165 },
+  { name: 'pontiac catalina', milesPerGallon: 14, cylinders: 8, horsepower: 175 },
+  { name: 'plymouth fury iii', milesPerGallon: 15, cylinders: 8, horsepower: 150 },
+  { name: 'ford galaxie 500', milesPerGallon: 14, cylinders: 8, horsepower: 153 },
+  { name: 'amc ambassador sst', milesPerGallon: 17, cylinders: 8, horsepower: 150 },
+  { name: 'mercury marquis', milesPerGallon: 11, cylinders: 8, horsepower: 208 },
+  { name: 'buick lesabre custom', milesPerGallon: 13, cylinders: 8, horsepower: 155 },
+  { name: 'oldsmobile delta 88 royale', milesPerGallon: 12, cylinders: 8, horsepower: 160 },
+  { name: 'chrysler newport royal', milesPerGallon: 13, cylinders: 8, horsepower: 190 },
+  { name: 'mazda rx2 coupe', milesPerGallon: 19, cylinders: 3, horsepower: 97 },
+  { name: 'amc matador (sw)', milesPerGallon: 15, cylinders: 8, horsepower: 150 },
+  { name: 'chevrolet chevelle concours (sw)', milesPerGallon: 13, cylinders: 8, horsepower: 130 },
+  { name: 'ford gran torino (sw)', milesPerGallon: 13, cylinders: 8, horsepower: 140 },
+  { name: 'plymouth satellite custom (sw)', milesPerGallon: 14, cylinders: 8, horsepower: 150 },
+  { name: 'volvo 145e (sw)', milesPerGallon: 18, cylinders: 4, horsepower: 112 },
+  { name: 'volkswagen 411 (sw)', milesPerGallon: 22, cylinders: 4, horsepower: 76 },
+  { name: 'peugeot 504 (sw)', milesPerGallon: 21, cylinders: 4, horsepower: 87 },
+  { name: 'renault 12 (sw)', milesPerGallon: 26, cylinders: 4, horsepower: 69 },
+  { name: 'ford pinto (sw)', milesPerGallon: 22, cylinders: 4, horsepower: 86 },
+  { name: 'datsun 510 (sw)', milesPerGallon: 28, cylinders: 4, horsepower: 92 },
+  { name: 'toyouta corona mark ii (sw)', milesPerGallon: 23, cylinders: 4, horsepower: 97 },
+  { name: 'dodge colt (sw)', milesPerGallon: 28, cylinders: 4, horsepower: 80 },
+  { name: 'toyota corolla 1600 (sw)', milesPerGallon: 27, cylinders: 4, horsepower: 88 },
+  { name: 'buick century 350', milesPerGallon: 13, cylinders: 8, horsepower: 175 },
+  { name: 'amc matador', milesPerGallon: 14, cylinders: 8, horsepower: 150 },
+  { name: 'chevrolet malibu', milesPerGallon: 13, cylinders: 8, horsepower: 145 },
+  { name: 'ford gran torino', milesPerGallon: 14, cylinders: 8, horsepower: 137 },
+  { name: 'dodge coronet custom', milesPerGallon: 15, cylinders: 8, horsepower: 150 },
+  { name: 'mercury marquis brougham', milesPerGallon: 12, cylinders: 8, horsepower: 198 },
+  { name: 'chevrolet caprice classic', milesPerGallon: 13, cylinders: 8, horsepower: 150 },
+  { name: 'ford ltd', milesPerGallon: 13, cylinders: 8, horsepower: 158 },
+  { name: 'plymouth fury gran sedan', milesPerGallon: 14, cylinders: 8, horsepower: 150 },
+  { name: 'chrysler new yorker brougham', milesPerGallon: 13, cylinders: 8, horsepower: 215 },
+  { name: 'buick electra 225 custom', milesPerGallon: 12, cylinders: 8, horsepower: 225 },
+  { name: 'amc ambassador brougham', milesPerGallon: 13, cylinders: 8, horsepower: 175 },
+  { name: 'plymouth valiant', milesPerGallon: 18, cylinders: 6, horsepower: 105 },
+  { name: 'chevrolet nova custom', milesPerGallon: 16, cylinders: 6, horsepower: 100 },
+  { name: 'amc hornet', milesPerGallon: 18, cylinders: 6, horsepower: 100 },
+  { name: 'ford maverick', milesPerGallon: 18, cylinders: 6, horsepower: 88 },
+  { name: 'plymouth duster', milesPerGallon: 23, cylinders: 6, horsepower: 95 },
+  { name: 'volkswagen super beetle', milesPerGallon: 26, cylinders: 4, horsepower: 46 },
+  { name: 'chevrolet impala', milesPerGallon: 11, cylinders: 8, horsepower: 150 },
+  { name: 'ford country', milesPerGallon: 12, cylinders: 8, horsepower: 167 },
+  { name: 'plymouth custom suburb', milesPerGallon: 13, cylinders: 8, horsepower: 170 },
+  { name: 'oldsmobile vista cruiser', milesPerGallon: 12, cylinders: 8, horsepower: 180 },
+  { name: 'amc gremlin', milesPerGallon: 18, cylinders: 6, horsepower: 100 },
+  { name: 'toyota carina', milesPerGallon: 20, cylinders: 4, horsepower: 88 },
+  { name: 'chevrolet vega', milesPerGallon: 21, cylinders: 4, horsepower: 72 },
+  { name: 'datsun 610', milesPerGallon: 22, cylinders: 4, horsepower: 94 },
+  { name: 'maxda rx3', milesPerGallon: 18, cylinders: 3, horsepower: 90 },
+  { name: 'ford pinto', milesPerGallon: 19, cylinders: 4, horsepower: 85 },
+  { name: 'mercury capri v6', milesPerGallon: 21, cylinders: 6, horsepower: 107 },
+  { name: 'fiat 124 sport coupe', milesPerGallon: 26, cylinders: 4, horsepower: 90 },
+  { name: 'chevrolet monte carlo s', milesPerGallon: 15, cylinders: 8, horsepower: 145 },
+  { name: 'pontiac grand prix', milesPerGallon: 16, cylinders: 8, horsepower: 230 },
+  { name: 'fiat 128', milesPerGallon: 29, cylinders: 4, horsepower: 49 },
+  { name: 'opel manta', milesPerGallon: 24, cylinders: 4, horsepower: 75 },
+  { name: 'audi 100ls', milesPerGallon: 20, cylinders: 4, horsepower: 91 },
+  { name: 'volvo 144ea', milesPerGallon: 19, cylinders: 4, horsepower: 112 },
+  { name: 'dodge dart custom', milesPerGallon: 15, cylinders: 8, horsepower: 150 },
+  { name: 'saab 99le', milesPerGallon: 24, cylinders: 4, horsepower: 110 },
+  { name: 'toyota mark ii', milesPerGallon: 20, cylinders: 6, horsepower: 122 },
+  { name: 'oldsmobile omega', milesPerGallon: 11, cylinders: 8, horsepower: 180 },
+  { name: 'plymouth duster', milesPerGallon: 20, cylinders: 6, horsepower: 95 },
+  { name: 'ford maverick', milesPerGallon: 21, cylinders: 6, horsepower: 0 },
+  { name: 'amc hornet', milesPerGallon: 19, cylinders: 6, horsepower: 100 },
+  { name: 'chevrolet nova', milesPerGallon: 15, cylinders: 6, horsepower: 100 },
+  { name: 'datsun b210', milesPerGallon: 31, cylinders: 4, horsepower: 67 },
+  { name: 'ford pinto', milesPerGallon: 26, cylinders: 4, horsepower: 80 },
+  { name: 'toyota corolla 1200', milesPerGallon: 32, cylinders: 4, horsepower: 65 },
+  { name: 'chevrolet vega', milesPerGallon: 25, cylinders: 4, horsepower: 75 },
+  { name: 'chevrolet chevelle malibu classic', milesPerGallon: 16, cylinders: 6, horsepower: 100 },
+  { name: 'amc matador', milesPerGallon: 16, cylinders: 6, horsepower: 110 },
+  { name: 'plymouth satellite sebring', milesPerGallon: 18, cylinders: 6, horsepower: 105 },
+  { name: 'ford gran torino', milesPerGallon: 16, cylinders: 8, horsepower: 140 },
+  { name: 'buick century luxus (sw)', milesPerGallon: 13, cylinders: 8, horsepower: 150 },
+  { name: 'dodge coronet custom (sw)', milesPerGallon: 14, cylinders: 8, horsepower: 150 },
+  { name: 'ford gran torino (sw)', milesPerGallon: 14, cylinders: 8, horsepower: 140 },
+  { name: 'amc matador (sw)', milesPerGallon: 14, cylinders: 8, horsepower: 150 },
+  { name: 'audi fox', milesPerGallon: 29, cylinders: 4, horsepower: 83 },
+  { name: 'volkswagen dasher', milesPerGallon: 26, cylinders: 4, horsepower: 67 },
+  { name: 'opel manta', milesPerGallon: 26, cylinders: 4, horsepower: 78 },
+  { name: 'toyota corona', milesPerGallon: 31, cylinders: 4, horsepower: 52 },
+  { name: 'datsun 710', milesPerGallon: 32, cylinders: 4, horsepower: 61 },
+  { name: 'dodge colt', milesPerGallon: 28, cylinders: 4, horsepower: 75 },
+  { name: 'fiat 128', milesPerGallon: 24, cylinders: 4, horsepower: 75 },
+  { name: 'fiat 124 tc', milesPerGallon: 26, cylinders: 4, horsepower: 75 },
+  { name: 'honda civic', milesPerGallon: 24, cylinders: 4, horsepower: 97 },
+  { name: 'subaru', milesPerGallon: 26, cylinders: 4, horsepower: 93 },
+  { name: 'fiat x1.9', milesPerGallon: 31, cylinders: 4, horsepower: 67 },
+  { name: 'plymouth valiant custom', milesPerGallon: 19, cylinders: 6, horsepower: 95 },
+  { name: 'chevrolet nova', milesPerGallon: 18, cylinders: 6, horsepower: 105 },
+  { name: 'mercury monarch', milesPerGallon: 15, cylinders: 6, horsepower: 72 },
+  { name: 'ford maverick', milesPerGallon: 15, cylinders: 6, horsepower: 72 },
+  { name: 'pontiac catalina', milesPerGallon: 16, cylinders: 8, horsepower: 170 },
+  { name: 'chevrolet bel air', milesPerGallon: 15, cylinders: 8, horsepower: 145 },
+  { name: 'plymouth grand fury', milesPerGallon: 16, cylinders: 8, horsepower: 150 },
+  { name: 'ford ltd', milesPerGallon: 14, cylinders: 8, horsepower: 148 },
+  { name: 'buick century', milesPerGallon: 17, cylinders: 6, horsepower: 110 },
+  { name: 'chevroelt chevelle malibu', milesPerGallon: 16, cylinders: 6, horsepower: 105 },
+  { name: 'amc matador', milesPerGallon: 15, cylinders: 6, horsepower: 110 },
+  { name: 'plymouth fury', milesPerGallon: 18, cylinders: 6, horsepower: 95 },
+  { name: 'buick skyhawk', milesPerGallon: 21, cylinders: 6, horsepower: 110 },
+  { name: 'chevrolet monza 2+2', milesPerGallon: 20, cylinders: 8, horsepower: 110 },
+  { name: 'ford mustang ii', milesPerGallon: 13, cylinders: 8, horsepower: 129 },
+  { name: 'toyota corolla', milesPerGallon: 29, cylinders: 4, horsepower: 75 },
+  { name: 'ford pinto', milesPerGallon: 23, cylinders: 4, horsepower: 83 },
+  { name: 'amc gremlin', milesPerGallon: 20, cylinders: 6, horsepower: 100 },
+  { name: 'pontiac astro', milesPerGallon: 23, cylinders: 4, horsepower: 78 },
+  { name: 'toyota corona', milesPerGallon: 24, cylinders: 4, horsepower: 96 },
+  { name: 'volkswagen dasher', milesPerGallon: 25, cylinders: 4, horsepower: 71 },
+  { name: 'datsun 710', milesPerGallon: 24, cylinders: 4, horsepower: 97 },
+  { name: 'ford pinto', milesPerGallon: 18, cylinders: 6, horsepower: 97 },
+  { name: 'volkswagen rabbit', milesPerGallon: 29, cylinders: 4, horsepower: 70 },
+  { name: 'amc pacer', milesPerGallon: 19, cylinders: 6, horsepower: 90 },
+  { name: 'audi 100ls', milesPerGallon: 23, cylinders: 4, horsepower: 95 },
+  { name: 'peugeot 504', milesPerGallon: 23, cylinders: 4, horsepower: 88 },
+  { name: 'volvo 244dl', milesPerGallon: 22, cylinders: 4, horsepower: 98 },
+  { name: 'saab 99le', milesPerGallon: 25, cylinders: 4, horsepower: 115 },
+  { name: 'honda civic cvcc', milesPerGallon: 33, cylinders: 4, horsepower: 53 },
+  { name: 'fiat 131', milesPerGallon: 28, cylinders: 4, horsepower: 86 },
+  { name: 'opel 1900', milesPerGallon: 25, cylinders: 4, horsepower: 81 },
+  { name: 'capri ii', milesPerGallon: 25, cylinders: 4, horsepower: 92 },
+  { name: 'dodge colt', milesPerGallon: 26, cylinders: 4, horsepower: 79 },
+  { name: 'renault 12tl', milesPerGallon: 27, cylinders: 4, horsepower: 83 },
+  { name: 'chevrolet chevelle malibu classic', milesPerGallon: 17.5, cylinders: 8, horsepower: 140 },
+  { name: 'dodge coronet brougham', milesPerGallon: 16, cylinders: 8, horsepower: 150 },
+  { name: 'amc matador', milesPerGallon: 15.5, cylinders: 8, horsepower: 120 },
+  { name: 'ford gran torino', milesPerGallon: 14.5, cylinders: 8, horsepower: 152 },
+  { name: 'plymouth valiant', milesPerGallon: 22, cylinders: 6, horsepower: 100 },
+  { name: 'chevrolet nova', milesPerGallon: 22, cylinders: 6, horsepower: 105 },
+  { name: 'ford maverick', milesPerGallon: 24, cylinders: 6, horsepower: 81 },
+  { name: 'amc hornet', milesPerGallon: 22.5, cylinders: 6, horsepower: 90 },
+  { name: 'chevrolet chevette', milesPerGallon: 29, cylinders: 4, horsepower: 52 },
+  { name: 'chevrolet woody', milesPerGallon: 24.5, cylinders: 4, horsepower: 60 },
+  { name: 'vw rabbit', milesPerGallon: 29, cylinders: 4, horsepower: 70 },
+  { name: 'honda civic', milesPerGallon: 33, cylinders: 4, horsepower: 53 },
+  { name: 'dodge aspen se', milesPerGallon: 20, cylinders: 6, horsepower: 100 },
+  { name: 'ford granada ghia', milesPerGallon: 18, cylinders: 6, horsepower: 78 },
+  { name: 'pontiac ventura sj', milesPerGallon: 18.5, cylinders: 6, horsepower: 110 },
+  { name: 'amc pacer d/l', milesPerGallon: 17.5, cylinders: 6, horsepower: 95 },
+  { name: 'volkswagen rabbit', milesPerGallon: 29.5, cylinders: 4, horsepower: 71 },
+  { name: 'datsun b-210', milesPerGallon: 32, cylinders: 4, horsepower: 70 },
+  { name: 'toyota corolla', milesPerGallon: 28, cylinders: 4, horsepower: 75 },
+  { name: 'ford pinto', milesPerGallon: 26.5, cylinders: 4, horsepower: 72 },
+  { name: 'volvo 245', milesPerGallon: 20, cylinders: 4, horsepower: 102 },
+  { name: 'plymouth volare premier v8', milesPerGallon: 13, cylinders: 8, horsepower: 150 },
+  { name: 'peugeot 504', milesPerGallon: 19, cylinders: 4, horsepower: 88 },
+  { name: 'toyota mark ii', milesPerGallon: 19, cylinders: 6, horsepower: 108 },
+  { name: 'mercedes-benz 280s', milesPerGallon: 16.5, cylinders: 6, horsepower: 120 },
+  { name: 'cadillac seville', milesPerGallon: 16.5, cylinders: 8, horsepower: 180 },
+  { name: 'chevy c10', milesPerGallon: 13, cylinders: 8, horsepower: 145 },
+  { name: 'ford f108', milesPerGallon: 13, cylinders: 8, horsepower: 130 },
+  { name: 'dodge d100', milesPerGallon: 13, cylinders: 8, horsepower: 150 },
+  { name: 'honda Accelerationord cvcc', milesPerGallon: 31.5, cylinders: 4, horsepower: 68 },
+  { name: 'buick opel isuzu deluxe', milesPerGallon: 30, cylinders: 4, horsepower: 80 },
+  { name: 'renault 5 gtl', milesPerGallon: 36, cylinders: 4, horsepower: 58 },
+  { name: 'plymouth arrow gs', milesPerGallon: 25.5, cylinders: 4, horsepower: 96 },
+  { name: 'datsun f-10 hatchback', milesPerGallon: 33.5, cylinders: 4, horsepower: 70 },
+  { name: 'chevrolet caprice classic', milesPerGallon: 17.5, cylinders: 8, horsepower: 145 },
+  { name: 'oldsmobile cutlass supreme', milesPerGallon: 17, cylinders: 8, horsepower: 110 },
+  { name: 'dodge monaco brougham', milesPerGallon: 15.5, cylinders: 8, horsepower: 145 },
+  { name: 'mercury cougar brougham', milesPerGallon: 15, cylinders: 8, horsepower: 130 },
+  { name: 'chevrolet concours', milesPerGallon: 17.5, cylinders: 6, horsepower: 110 },
+  { name: 'buick skylark', milesPerGallon: 20.5, cylinders: 6, horsepower: 105 },
+  { name: 'plymouth volare custom', milesPerGallon: 19, cylinders: 6, horsepower: 100 },
+  { name: 'ford granada', milesPerGallon: 18.5, cylinders: 6, horsepower: 98 },
+  { name: 'pontiac grand prix lj', milesPerGallon: 16, cylinders: 8, horsepower: 180 },
+  { name: 'chevrolet monte carlo landau', milesPerGallon: 15.5, cylinders: 8, horsepower: 170 },
+  { name: 'chrysler cordoba', milesPerGallon: 15.5, cylinders: 8, horsepower: 190 },
+  { name: 'ford thunderbird', milesPerGallon: 16, cylinders: 8, horsepower: 149 },
+  { name: 'volkswagen rabbit custom', milesPerGallon: 29, cylinders: 4, horsepower: 78 },
+  { name: 'pontiac sunbird coupe', milesPerGallon: 24.5, cylinders: 4, horsepower: 88 },
+  { name: 'toyota corolla liftback', milesPerGallon: 26, cylinders: 4, horsepower: 75 },
+  { name: 'ford mustang ii 2+2', milesPerGallon: 25.5, cylinders: 4, horsepower: 89 },
+  { name: 'chevrolet chevette', milesPerGallon: 30.5, cylinders: 4, horsepower: 63 },
+  { name: 'dodge colt m/m', milesPerGallon: 33.5, cylinders: 4, horsepower: 83 },
+  { name: 'subaru dl', milesPerGallon: 30, cylinders: 4, horsepower: 67 },
+  { name: 'volkswagen dasher', milesPerGallon: 30.5, cylinders: 4, horsepower: 78 },
+  { name: 'datsun 810', milesPerGallon: 22, cylinders: 6, horsepower: 97 },
+  { name: 'bmw 320i', milesPerGallon: 21.5, cylinders: 4, horsepower: 110 },
+  { name: 'mazda rx-4', milesPerGallon: 21.5, cylinders: 3, horsepower: 110 },
+  { name: 'volkswagen rabbit custom diesel', milesPerGallon: 43.1, cylinders: 4, horsepower: 48 },
+  { name: 'ford fiesta', milesPerGallon: 36.1, cylinders: 4, horsepower: 66 },
+  { name: 'mazda glc deluxe', milesPerGallon: 32.8, cylinders: 4, horsepower: 52 },
+  { name: 'datsun b210 gx', milesPerGallon: 39.4, cylinders: 4, horsepower: 70 },
+  { name: 'honda civic cvcc', milesPerGallon: 36.1, cylinders: 4, horsepower: 60 },
+  { name: 'oldsmobile cutlass salon brougham', milesPerGallon: 19.9, cylinders: 8, horsepower: 110 },
+  { name: 'dodge diplomat', milesPerGallon: 19.4, cylinders: 8, horsepower: 140 },
+  { name: 'mercury monarch ghia', milesPerGallon: 20.2, cylinders: 8, horsepower: 139 },
+  { name: 'pontiac phoenix lj', milesPerGallon: 19.2, cylinders: 6, horsepower: 105 },
+  { name: 'chevrolet malibu', milesPerGallon: 20.5, cylinders: 6, horsepower: 95 },
+  { name: 'ford fairmont (auto)', milesPerGallon: 20.2, cylinders: 6, horsepower: 85 },
+  { name: 'ford fairmont (man)', milesPerGallon: 25.1, cylinders: 4, horsepower: 88 },
+  { name: 'plymouth volare', milesPerGallon: 20.5, cylinders: 6, horsepower: 100 },
+  { name: 'amc concord', milesPerGallon: 19.4, cylinders: 6, horsepower: 90 },
+  { name: 'buick century special', milesPerGallon: 20.6, cylinders: 6, horsepower: 105 },
+  { name: 'mercury zephyr', milesPerGallon: 20.8, cylinders: 6, horsepower: 85 },
+  { name: 'dodge aspen', milesPerGallon: 18.6, cylinders: 6, horsepower: 110 },
+  { name: 'amc concord d/l', milesPerGallon: 18.1, cylinders: 6, horsepower: 120 },
+  { name: 'chevrolet monte carlo landau', milesPerGallon: 19.2, cylinders: 8, horsepower: 145 },
+  { name: 'buick regal sport coupe (turbo)', milesPerGallon: 17.7, cylinders: 6, horsepower: 165 },
+  { name: 'ford futura', milesPerGallon: 18.1, cylinders: 8, horsepower: 139 },
+  { name: 'dodge magnum xe', milesPerGallon: 17.5, cylinders: 8, horsepower: 140 },
+  { name: 'chevrolet chevette', milesPerGallon: 30, cylinders: 4, horsepower: 68 },
+  { name: 'toyota corona', milesPerGallon: 27.5, cylinders: 4, horsepower: 95 },
+  { name: 'datsun 510', milesPerGallon: 27.2, cylinders: 4, horsepower: 97 },
+  { name: 'dodge omni', milesPerGallon: 30.9, cylinders: 4, horsepower: 75 },
+  { name: 'toyota celica gt liftback', milesPerGallon: 21.1, cylinders: 4, horsepower: 95 },
+  { name: 'plymouth sapporo', milesPerGallon: 23.2, cylinders: 4, horsepower: 105 },
+  { name: 'oldsmobile starfire sx', milesPerGallon: 23.8, cylinders: 4, horsepower: 85 },
+  { name: 'datsun 200-sx', milesPerGallon: 23.9, cylinders: 4, horsepower: 97 },
+  { name: 'audi 5000', milesPerGallon: 20.3, cylinders: 5, horsepower: 103 },
+  { name: 'volvo 264gl', milesPerGallon: 17, cylinders: 6, horsepower: 125 },
+  { name: 'saab 99gle', milesPerGallon: 21.6, cylinders: 4, horsepower: 115 },
+  { name: 'peugeot 604sl', milesPerGallon: 16.2, cylinders: 6, horsepower: 133 },
+  { name: 'volkswagen scirocco', milesPerGallon: 31.5, cylinders: 4, horsepower: 71 },
+  { name: 'honda Accelerationord lx', milesPerGallon: 29.5, cylinders: 4, horsepower: 68 },
+  { name: 'pontiac lemans v6', milesPerGallon: 21.5, cylinders: 6, horsepower: 115 },
+  { name: 'mercury zephyr 6', milesPerGallon: 19.8, cylinders: 6, horsepower: 85 },
+  { name: 'ford fairmont 4', milesPerGallon: 22.3, cylinders: 4, horsepower: 88 },
+  { name: 'amc concord dl 6', milesPerGallon: 20.2, cylinders: 6, horsepower: 90 },
+  { name: 'dodge aspen 6', milesPerGallon: 20.6, cylinders: 6, horsepower: 110 },
+  { name: 'chevrolet caprice classic', milesPerGallon: 17, cylinders: 8, horsepower: 130 },
+  { name: 'ford ltd landau', milesPerGallon: 17.6, cylinders: 8, horsepower: 129 },
+  { name: 'mercury grand marquis', milesPerGallon: 16.5, cylinders: 8, horsepower: 138 },
+  { name: 'dodge st. regis', milesPerGallon: 18.2, cylinders: 8, horsepower: 135 },
+  { name: 'buick estate wagon (sw)', milesPerGallon: 16.9, cylinders: 8, horsepower: 155 },
+  { name: 'ford country squire (sw)', milesPerGallon: 15.5, cylinders: 8, horsepower: 142 },
+  { name: 'chevrolet malibu classic (sw)', milesPerGallon: 19.2, cylinders: 8, horsepower: 125 },
+  { name: 'chrysler lebaron town @ country (sw)', milesPerGallon: 18.5, cylinders: 8, horsepower: 150 },
+  { name: 'vw rabbit custom', milesPerGallon: 31.9, cylinders: 4, horsepower: 71 },
+  { name: 'maxda glc deluxe', milesPerGallon: 34.1, cylinders: 4, horsepower: 65 },
+  { name: 'dodge colt hatchback custom', milesPerGallon: 35.7, cylinders: 4, horsepower: 80 },
+  { name: 'amc spirit dl', milesPerGallon: 27.4, cylinders: 4, horsepower: 80 },
+  { name: 'mercedes benz 300d', milesPerGallon: 25.4, cylinders: 5, horsepower: 77 },
+  { name: 'cadillac eldorado', milesPerGallon: 23, cylinders: 8, horsepower: 125 },
+  { name: 'peugeot 504', milesPerGallon: 27.2, cylinders: 4, horsepower: 71 },
+  { name: 'oldsmobile cutlass salon brougham', milesPerGallon: 23.9, cylinders: 8, horsepower: 90 },
+  { name: 'plymouth horizon', milesPerGallon: 34.2, cylinders: 4, horsepower: 70 },
+  { name: 'plymouth horizon tc3', milesPerGallon: 34.5, cylinders: 4, horsepower: 70 },
+  { name: 'datsun 210', milesPerGallon: 31.8, cylinders: 4, horsepower: 65 },
+  { name: 'fiat strada custom', milesPerGallon: 37.3, cylinders: 4, horsepower: 69 },
+  { name: 'buick skylark limited', milesPerGallon: 28.4, cylinders: 4, horsepower: 90 },
+  { name: 'chevrolet citation', milesPerGallon: 28.8, cylinders: 6, horsepower: 115 },
+  { name: 'oldsmobile omega brougham', milesPerGallon: 26.8, cylinders: 6, horsepower: 115 },
+  { name: 'pontiac phoenix', milesPerGallon: 33.5, cylinders: 4, horsepower: 90 },
+  { name: 'vw rabbit', milesPerGallon: 41.5, cylinders: 4, horsepower: 76 },
+  { name: 'toyota corolla tercel', milesPerGallon: 38.1, cylinders: 4, horsepower: 60 },
+  { name: 'chevrolet chevette', milesPerGallon: 32.1, cylinders: 4, horsepower: 70 },
+  { name: 'datsun 310', milesPerGallon: 37.2, cylinders: 4, horsepower: 65 },
+  { name: 'chevrolet citation', milesPerGallon: 28, cylinders: 4, horsepower: 90 },
+  { name: 'ford fairmont', milesPerGallon: 26.4, cylinders: 4, horsepower: 88 },
+  { name: 'amc concord', milesPerGallon: 24.3, cylinders: 4, horsepower: 90 },
+  { name: 'dodge aspen', milesPerGallon: 19.1, cylinders: 6, horsepower: 90 },
+  { name: 'audi 4000', milesPerGallon: 34.3, cylinders: 4, horsepower: 78 },
+  { name: 'toyota corona liftback', milesPerGallon: 29.8, cylinders: 4, horsepower: 90 },
+  { name: 'mazda 626', milesPerGallon: 31.3, cylinders: 4, horsepower: 75 },
+  { name: 'datsun 510 hatchback', milesPerGallon: 37, cylinders: 4, horsepower: 92 },
+  { name: 'toyota corolla', milesPerGallon: 32.2, cylinders: 4, horsepower: 75 },
+  { name: 'mazda glc', milesPerGallon: 46.6, cylinders: 4, horsepower: 65 },
+  { name: 'dodge colt', milesPerGallon: 27.9, cylinders: 4, horsepower: 105 },
+  { name: 'datsun 210', milesPerGallon: 40.8, cylinders: 4, horsepower: 65 },
+  { name: 'vw rabbit c (diesel)', milesPerGallon: 44.3, cylinders: 4, horsepower: 48 },
+  { name: 'vw dasher (diesel)', milesPerGallon: 43.4, cylinders: 4, horsepower: 48 },
+  { name: 'audi 5000s (diesel)', milesPerGallon: 36.4, cylinders: 5, horsepower: 67 },
+  { name: 'mercedes-benz 240d', milesPerGallon: 30, cylinders: 4, horsepower: 67 },
+  { name: 'honda civic 1500 gl', milesPerGallon: 44.6, cylinders: 4, horsepower: 67 },
+  { name: 'renault lecar deluxe', milesPerGallon: 40.9, cylinders: 4, horsepower: 0 },
+  { name: 'subaru dl', milesPerGallon: 33.8, cylinders: 4, horsepower: 67 },
+  { name: 'vokswagen rabbit', milesPerGallon: 29.8, cylinders: 4, horsepower: 62 },
+  { name: 'datsun 280-zx', milesPerGallon: 32.7, cylinders: 6, horsepower: 132 },
+  { name: 'mazda rx-7 gs', milesPerGallon: 23.7, cylinders: 3, horsepower: 100 },
+  { name: 'triumph tr7 coupe', milesPerGallon: 35, cylinders: 4, horsepower: 88 },
+  { name: 'ford mustang cobra', milesPerGallon: 23.6, cylinders: 4, horsepower: 0 },
+  { name: 'honda Accelerationord', milesPerGallon: 32.4, cylinders: 4, horsepower: 72 },
+  { name: 'plymouth reliant', milesPerGallon: 27.2, cylinders: 4, horsepower: 84 },
+  { name: 'buick skylark', milesPerGallon: 26.6, cylinders: 4, horsepower: 84 },
+  { name: 'dodge aries wagon (sw)', milesPerGallon: 25.8, cylinders: 4, horsepower: 92 },
+  { name: 'chevrolet citation', milesPerGallon: 23.5, cylinders: 6, horsepower: 110 },
+  { name: 'plymouth reliant', milesPerGallon: 30, cylinders: 4, horsepower: 84 },
+  { name: 'toyota starlet', milesPerGallon: 39.1, cylinders: 4, horsepower: 58 },
+  { name: 'plymouth champ', milesPerGallon: 39, cylinders: 4, horsepower: 64 },
+  { name: 'honda civic 1300', milesPerGallon: 35.1, cylinders: 4, horsepower: 60 },
+  { name: 'subaru', milesPerGallon: 32.3, cylinders: 4, horsepower: 67 },
+  { name: 'datsun 210', milesPerGallon: 37, cylinders: 4, horsepower: 65 },
+  { name: 'toyota tercel', milesPerGallon: 37.7, cylinders: 4, horsepower: 62 },
+  { name: 'mazda glc 4', milesPerGallon: 34.1, cylinders: 4, horsepower: 68 },
+  { name: 'plymouth horizon 4', milesPerGallon: 34.7, cylinders: 4, horsepower: 63 },
+  { name: 'ford escort 4w', milesPerGallon: 34.4, cylinders: 4, horsepower: 65 },
+  { name: 'ford escort 2h', milesPerGallon: 29.9, cylinders: 4, horsepower: 65 },
+  { name: 'volkswagen jetta', milesPerGallon: 33, cylinders: 4, horsepower: 74 },
+  { name: 'renault 18i', milesPerGallon: 34.5, cylinders: 4, horsepower: 0 },
+  { name: 'honda prelude', milesPerGallon: 33.7, cylinders: 4, horsepower: 75 },
+  { name: 'toyota corolla', milesPerGallon: 32.4, cylinders: 4, horsepower: 75 },
+  { name: 'datsun 200sx', milesPerGallon: 32.9, cylinders: 4, horsepower: 100 },
+  { name: 'mazda 626', milesPerGallon: 31.6, cylinders: 4, horsepower: 74 },
+  { name: 'peugeot 505s turbo diesel', milesPerGallon: 28.1, cylinders: 4, horsepower: 80 },
+  { name: 'saab 900s', milesPerGallon: 0, cylinders: 4, horsepower: 110 },
+  { name: 'volvo diesel', milesPerGallon: 30.7, cylinders: 6, horsepower: 76 },
+  { name: 'toyota cressida', milesPerGallon: 25.4, cylinders: 6, horsepower: 116 },
+  { name: 'datsun 810 maxima', milesPerGallon: 24.2, cylinders: 6, horsepower: 120 },
+  { name: 'buick century', milesPerGallon: 22.4, cylinders: 6, horsepower: 110 },
+  { name: 'oldsmobile cutlass ls', milesPerGallon: 26.6, cylinders: 8, horsepower: 105 },
+  { name: 'ford granada gl', milesPerGallon: 20.2, cylinders: 6, horsepower: 88 },
+  { name: 'chrysler lebaron salon', milesPerGallon: 17.6, cylinders: 6, horsepower: 85 },
+  { name: 'chevrolet cavalier', milesPerGallon: 28, cylinders: 4, horsepower: 88 },
+  { name: 'chevrolet cavalier wagon', milesPerGallon: 27, cylinders: 4, horsepower: 88 },
+  { name: 'chevrolet cavalier 2-door', milesPerGallon: 34, cylinders: 4, horsepower: 88 },
+  { name: 'pontiac j2000 se hatchback', milesPerGallon: 31, cylinders: 4, horsepower: 85 },
+  { name: 'dodge aries se', milesPerGallon: 29, cylinders: 4, horsepower: 84 },
+  { name: 'pontiac phoenix', milesPerGallon: 27, cylinders: 4, horsepower: 90 },
+  { name: 'ford fairmont futura', milesPerGallon: 24, cylinders: 4, horsepower: 92 },
+  { name: 'amc concord dl', milesPerGallon: 23, cylinders: 4, horsepower: 0 },
+  { name: 'volkswagen rabbit l', milesPerGallon: 36, cylinders: 4, horsepower: 74 },
+  { name: 'mazda glc custom l', milesPerGallon: 37, cylinders: 4, horsepower: 68 },
+  { name: 'mazda glc custom', milesPerGallon: 31, cylinders: 4, horsepower: 68 },
+  { name: 'plymouth horizon miser', milesPerGallon: 38, cylinders: 4, horsepower: 63 },
+  { name: 'mercury lynx l', milesPerGallon: 36, cylinders: 4, horsepower: 70 },
+  { name: 'nissan stanza xe', milesPerGallon: 36, cylinders: 4, horsepower: 88 },
+  { name: 'honda Accelerationord', milesPerGallon: 36, cylinders: 4, horsepower: 75 },
+  { name: 'toyota corolla', milesPerGallon: 34, cylinders: 4, horsepower: 70 },
+  { name: 'honda civic', milesPerGallon: 38, cylinders: 4, horsepower: 67 },
+  { name: 'honda civic (auto)', milesPerGallon: 32, cylinders: 4, horsepower: 67 },
+  { name: 'datsun 310 gx', milesPerGallon: 38, cylinders: 4, horsepower: 67 },
+  { name: 'buick century limited', milesPerGallon: 25, cylinders: 6, horsepower: 110 },
+  { name: 'oldsmobile cutlass ciera (diesel)', milesPerGallon: 38, cylinders: 6, horsepower: 85 },
+  { name: 'chrysler lebaron medallion', milesPerGallon: 26, cylinders: 4, horsepower: 92 },
+  { name: 'ford granada l', milesPerGallon: 22, cylinders: 6, horsepower: 112 },
+  { name: 'toyota celica gt', milesPerGallon: 32, cylinders: 4, horsepower: 96 },
+  { name: 'dodge charger 2.2', milesPerGallon: 36, cylinders: 4, horsepower: 84 },
+  { name: 'chevrolet camaro', milesPerGallon: 27, cylinders: 4, horsepower: 90 },
+  { name: 'ford mustang gl', milesPerGallon: 27, cylinders: 4, horsepower: 86 },
+  { name: 'vw pickup', milesPerGallon: 44, cylinders: 4, horsepower: 52 },
+  { name: 'dodge rampage', milesPerGallon: 32, cylinders: 4, horsepower: 84 },
+  { name: 'ford ranger', milesPerGallon: 28, cylinders: 4, horsepower: 79 },
+  { name: 'chevy s-10', milesPerGallon: 31, cylinders: 4, horsepower: 82 }
+].filter(entry => {
+  const delta = entry.horsepower - entry.milesPerGallon;
+  return delta > 100 || delta < 20;
+});
+
+// 图表配置
+const spec = {
+  type: 'common',
+  series: [
+    {
+      type: 'scatter',
+      xField: 'milesPerGallon',
+      yField: 'horsepower',
+      point: {
+        state: {
+          hover: {
+            scaleX: 1.2,
+            scaleY: 1.2
+          }
+        },
+        style: {
+          fillOpacity: 0.25
+        }
+      }
+    }
+  ],
+  tooltip: {
+    dimension: {
+      visible: true
+    },
+    mark: {
+      title: true,
+      content: [
+        {
+          key: d => d.name,
+          value: d => d.y
+        }
+      ]
+    }
+  },
+  crosshair: {
+    yField: {
+      visible: true,
+      line: {
+        visible: true,
+        type: 'line'
+      },
+      label: {
+        visible: true // label 默认关闭
+      }
+    },
+    xField: {
+      visible: true,
+      line: {
+        visible: true,
+        type: 'line'
+      },
+      label: {
+        visible: true // label 默认关闭
+      }
+    }
+  },
+  axes: [
+    {
+      title: {
+        visible: true,
+        text: 'Horse Power'
+      },
+      orient: 'left',
+      range: { min: 0 },
+      type: 'linear'
+    },
+    {
+      title: {
+        visible: true,
+        text: 'Miles Per Gallon'
+      },
+      orient: 'bottom',
+      label: { visible: true },
+      type: 'linear'
+    }
+  ],
+  data: [
+    {
+      id: 'data',
+      values: data.flat()
+    }
+  ]
+};
+
+const run = () => {
+  registerRegressionLine();
+  appendScatterRegressionLineConfig(spec, [
+    {
+      type: 'logisitc',
+      color: 'red',
+      label: {
+        text: 'logisitc'
+      }
+    }
+  ]);
+
+  const cs = new VChart(spec, {
+    dom: document.getElementById('chart') as HTMLElement,
+    //theme: 'dark',
+    onError: err => {
+      console.error(err);
+    }
+  });
+
+  cs.renderSync();
+
+  window['vchart'] = cs;
+};
+run();
diff --git a/packages/vchart-extension/src/components/bar-regression-line/index.ts b/packages/vchart-extension/src/components/bar-regression-line/index.ts
index fb9ecc4d5e..c95b4a0e67 100644
--- a/packages/vchart-extension/src/components/bar-regression-line/index.ts
+++ b/packages/vchart-extension/src/components/bar-regression-line/index.ts
@@ -55,6 +55,7 @@ export function getBarRegressionLineConfig(config: Omit<BarRegressionLineSpec, '
             const halfBandWidth = s.getXAxisHelper().getBandwidth(0) / 2;
 
             regressionData.push({
+              color: color ?? s.getOption().globalScale.getScale('color')?.scale(s.getSeriesKeys()[0]),
               line: lineData.map((ld: Datum) => {
                 const d = { [fieldX]: groups[ld.x], [fieldY]: ld.y };
                 return {
@@ -76,7 +77,6 @@ export function getBarRegressionLineConfig(config: Omit<BarRegressionLineSpec, '
 
         return regressionData;
       },
-      color,
       line,
       confidenceInterval,
       label
diff --git a/packages/vchart-extension/src/components/bar-regression-line/type.ts b/packages/vchart-extension/src/components/bar-regression-line/type.ts
index 0e33085d64..f35ce5dd34 100644
--- a/packages/vchart-extension/src/components/bar-regression-line/type.ts
+++ b/packages/vchart-extension/src/components/bar-regression-line/type.ts
@@ -8,6 +8,13 @@ export interface BarRegressionLineAttrs extends RegressionLineAttrs {
 }
 
 export interface BarRegressionLineSpec
-  extends Partial<Pick<BarRegressionLineAttrs, 'line' | 'label' | 'confidenceInterval' | 'color' | 'degree'>> {
+  extends Partial<Pick<BarRegressionLineAttrs, 'line' | 'label' | 'confidenceInterval' | 'degree'>> {
+  /**
+   * 是否显示回归线
+   */
   visible?: boolean;
+  /**
+   * 主色，可以不设置，默认取散点图系列颜色
+   */
+  color?: string;
 }
diff --git a/packages/vchart-extension/src/components/histogram-regression-line/index.ts b/packages/vchart-extension/src/components/histogram-regression-line/index.ts
index 310f2a08b7..ddd7c8adb6 100644
--- a/packages/vchart-extension/src/components/histogram-regression-line/index.ts
+++ b/packages/vchart-extension/src/components/histogram-regression-line/index.ts
@@ -3,6 +3,7 @@
  * @author zhangweixing
  */
 
+import type { KDEEvaluator } from '@visactor/vutils';
 import { array, get, kde, ecdf, last } from '@visactor/vutils';
 import type { Datum, ICartesianSeries, ISpec } from '@visactor/vchart';
 import { SeriesTypeEnum } from '@visactor/vchart';
@@ -42,7 +43,7 @@ export function getHistogramRegressionLineConfig(
         const series = chart.getAllSeries().filter((s: any) => s.type === SeriesTypeEnum.bar) as ICartesianSeries[];
         const regressionData: RegressionLineData[] = [];
 
-        // 必须存在散点图系列
+        // 直方图使用的是bar系列
         if (series && series.length) {
           series.forEach(s => {
             const region = s.getRegion().getLayoutStartPoint();
@@ -77,13 +78,14 @@ export function getHistogramRegressionLineConfig(
             const scaleR =
               type === 'kde'
                 ? (k: number) => {
-                    return scaleY.scale(k * data.length * res.bandwidth);
+                    return scaleY.scale(k * data.length * (res as KDEEvaluator).bandwidth);
                   }
                 : (e: number) => {
                     return y0 + (y1 - y0) * e;
                   };
 
             regressionData.push({
+              color: color ?? s.getOption().globalScale.getScale('color')?.scale(s.getSeriesKeys()[0]),
               line: lineData.map((ld: Datum) => {
                 const d = { [fieldX]: ld.x };
                 return {
@@ -97,7 +99,6 @@ export function getHistogramRegressionLineConfig(
 
         return regressionData;
       },
-      color,
       line,
       label
     }
diff --git a/packages/vchart-extension/src/components/histogram-regression-line/type.ts b/packages/vchart-extension/src/components/histogram-regression-line/type.ts
index a885eee55f..a4e25de7b1 100644
--- a/packages/vchart-extension/src/components/histogram-regression-line/type.ts
+++ b/packages/vchart-extension/src/components/histogram-regression-line/type.ts
@@ -5,6 +5,13 @@ export interface HistogramRegressionLineAttrs extends Omit<RegressionLineAttrs,
 }
 
 export interface HistogramRegressionLineSpec
-  extends Partial<Pick<HistogramRegressionLineAttrs, 'type' | 'line' | 'label' | 'color'>> {
+  extends Partial<Pick<HistogramRegressionLineAttrs, 'type' | 'line' | 'label'>> {
+  /**
+   * 是否显示回归线
+   */
   visible?: boolean;
+  /**
+   * 主色，可以不设置，默认取散点图系列颜色
+   */
+  color?: string;
 }
diff --git a/packages/vchart-extension/src/components/regression-line/regression-line.ts b/packages/vchart-extension/src/components/regression-line/regression-line.ts
index ad7972f026..e4c28ef06e 100644
--- a/packages/vchart-extension/src/components/regression-line/regression-line.ts
+++ b/packages/vchart-extension/src/components/regression-line/regression-line.ts
@@ -15,14 +15,14 @@ export class RegressionLine extends AbstractComponent<Required<RegressionLineAtt
       line = {},
       label,
       name = 'regression-line',
-      confidenceInterval,
-      color
+      confidenceInterval
     } = this.attribute as RegressionLineAttrs;
     if (isEmpty(data)) {
       return;
     }
 
     data.forEach(d => {
+      const { color } = d;
       if (d.area && confidenceInterval?.visible !== false) {
         const areaShape = createArea({
           points: d.area,
diff --git a/packages/vchart-extension/src/components/regression-line/type.ts b/packages/vchart-extension/src/components/regression-line/type.ts
index 813e322161..5badb72df6 100644
--- a/packages/vchart-extension/src/components/regression-line/type.ts
+++ b/packages/vchart-extension/src/components/regression-line/type.ts
@@ -5,8 +5,21 @@ import type {
   ITextGraphicAttribute
 } from '@visactor/vrender-core';
 
+/**
+ * 回归线数据格式
+ */
 export interface RegressionLineData {
+  /**
+   * 颜色值
+   */
+  color?: string;
+  /**
+   * 回归线数据点
+   */
   line: { x: number; y: number }[];
+  /**
+   * 置信区间数据点
+   */
   area?: { x: number; y: number; y1: number }[];
 }
 
@@ -15,10 +28,6 @@ export interface RegressionLineAttrs extends IGroupGraphicAttribute {
    * 用于区分的名称
    */
   name?: string;
-  /**
-   * 颜色值
-   */
-  color?: string;
   /**
    * 回归线配置
    */
diff --git a/packages/vchart-extension/src/components/scatter-regression-line/index.ts b/packages/vchart-extension/src/components/scatter-regression-line/index.ts
index 016f09b26d..1e50de1d2a 100644
--- a/packages/vchart-extension/src/components/scatter-regression-line/index.ts
+++ b/packages/vchart-extension/src/components/scatter-regression-line/index.ts
@@ -64,7 +64,8 @@ export function getScatterRegressionLineConfig(
         if (series && series.length) {
           series.forEach(s => {
             const region = s.getRegion().getLayoutStartPoint();
-
+            const colorAttrOptions = s.getColorAttribute();
+            const groups = s.getSeriesKeys();
             const data = s.getViewData().latestData;
             const fieldX = s.fieldX?.[0];
             const fieldY = s.fieldY?.[0];
@@ -72,33 +73,42 @@ export function getScatterRegressionLineConfig(
             if (!fieldX || !fieldY || !data || data.length <= 2) {
               return;
             }
-            const { evaluateGrid, confidenceInterval } = getRegressionByType(
-              type,
-              data,
-              (datum: Datum) => datum?.[fieldX],
-              (datum: Datum) => datum?.[fieldY],
-              config.polynomialDegree
-            );
-            const N = Math.min(3, Math.floor(data.length / 4));
-            const lineData = evaluateGrid(N);
-            const confidenceData = confidenceInterval(N);
 
-            regressionData.push({
-              line: lineData.map((ld: Datum) => {
-                const d = { [fieldX]: ld.x, [fieldY]: ld.y };
-                return {
-                  x: s.dataToPositionX(d) + region.x,
-                  y: s.dataToPositionY(d) + region.y
-                };
-              }),
-              area: confidenceData.map((c: Datum) => {
-                const d = { [fieldX]: c.x, [fieldY]: c.lower };
-                return {
-                  x: s.dataToPositionX(d) + region.x,
-                  y: s.dataToPositionY(d) + region.y,
-                  y1: s.dataToPositionY({ [fieldY]: c.upper }) + region.y
-                };
-              })
+            groups.forEach(group => {
+              const groupData = data.filter((d: Datum) => d[colorAttrOptions?.field] === group);
+
+              if (!groupData.length) {
+                return;
+              }
+              const { evaluateGrid, confidenceInterval } = getRegressionByType(
+                type,
+                groupData,
+                (datum: Datum) => datum?.[fieldX],
+                (datum: Datum) => datum?.[fieldY],
+                config.polynomialDegree
+              );
+              const N = Math.max(3, Math.floor(groupData.length / 4));
+              const lineData = evaluateGrid(N);
+              const confidenceData = confidenceInterval(N);
+
+              regressionData.push({
+                color: color ?? colorAttrOptions?.scale?.scale(group),
+                line: lineData.map((ld: Datum) => {
+                  const d = { [fieldX]: ld.x, [fieldY]: ld.y };
+                  return {
+                    x: s.dataToPositionX(d) + region.x,
+                    y: s.dataToPositionY(d) + region.y
+                  };
+                }),
+                area: confidenceData.map((c: Datum) => {
+                  const d = { [fieldX]: c.x, [fieldY]: c.lower };
+                  return {
+                    x: s.dataToPositionX(d) + region.x,
+                    y: s.dataToPositionY(d) + region.y,
+                    y1: s.dataToPositionY({ [fieldY]: c.upper }) + region.y
+                  };
+                })
+              });
             });
           });
         }
@@ -107,8 +117,7 @@ export function getScatterRegressionLineConfig(
       },
       line,
       confidenceInterval,
-      label,
-      color
+      label
     }
   };
 }
diff --git a/packages/vchart-extension/src/components/scatter-regression-line/type.ts b/packages/vchart-extension/src/components/scatter-regression-line/type.ts
index 4bbeaeaf54..73fbee342e 100644
--- a/packages/vchart-extension/src/components/scatter-regression-line/type.ts
+++ b/packages/vchart-extension/src/components/scatter-regression-line/type.ts
@@ -6,11 +6,22 @@ export interface ScatterRegressionLineAttrs extends RegressionLineAttrs {
    * 多项式回归的阶数，仅当 type 为 polynomial 时有效
    */
   polynomialDegree?: number;
+  /**
+   * logisitc 回归时，打标字段对应的数据字段名称
+   */
+  logisiticLabelField?: string;
 }
 
 export interface ScatterRegressionLineSpec
   extends Partial<
-    Pick<ScatterRegressionLineAttrs, 'type' | 'polynomialDegree' | 'line' | 'label' | 'confidenceInterval' | 'color'>
+    Pick<ScatterRegressionLineAttrs, 'type' | 'polynomialDegree' | 'line' | 'label' | 'confidenceInterval'>
   > {
+  /**
+   * 是否显示回归线
+   */
   visible?: boolean;
+  /**
+   * 主色，可以不设置，默认取散点图系列颜色
+   */
+  color?: string;
 }