import pandas

from sklearn import linear_model

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df = pandas.read_csv("data.csv")

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X = df[['Weight', 'Volume']]

y = df['CO2']

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regr = linear_model.LinearRegression()

regr.fit(X, y)

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predictedCO2 = regr.predict([[3300, 1300]])

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print(predictedCO2)

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Car,Model,Volume,Weight,CO2

Toyoty,Aygo,1000,790,99

Mitsubishi,Space Star,1200,1160,95

Skoda,Citigo,1000,929,95

Fiat,500,900,865,90

Mini,Cooper,1500,1140,105

VW,Up!,1000,929,105

Skoda,Fabia,1400,1109,90

Mercedes,A-Class,1500,1365,92

Ford,Fiesta,1500,1112,98

Audi,A1,1600,1150,99

Hyundai,I20,1100,980,99

Suzuki,Swift,1300,990,101

Ford,Fiesta,1000,1112,99

Honda,Civic,1600,1252,94

Hundai,I30,1600,1326,97

Opel,Astra,1600,1330,97

BMW,1,1600,1365,99

Mazda,3,2200,1280,104

Skoda,Rapid,1600,1119,104

Ford,Focus,2000,1328,105

Ford,Mondeo,1600,1584,94

Opel,Insignia,2000,1428,99

Mercedes,C-Class,2100,1365,99

Skoda,Octavia,1600,1415,99

Volvo,S60,2000,1415,99

Mercedes,CLA,1500,1465,102

Audi,A4,2000,1490,104

Audi,A6,2000,1725,114

Volvo,V70,1600,1523,109

BMW,5,2000,1705,114

Mercedes,E-Class,2100,1605,115

Volvo,XC70,2000,1746,117

Ford,B-Max,1600,1235,104

BMW,216,1600,1390,108

Opel,Zafira,1600,1405,109

Mercedes,SLK,2500,1395,120

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