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import pandas as pd
import matplotlib.pyplot as plt


cars = pd.read_csv('cars.csv')

avrg_brand = cars.groupby('Brand')['Price'].mean()/cars['Price'].mean()
avrg_body = cars.groupby('Body')['Price'].mean()/cars['Price'].mean()
avrg_etype = cars.groupby('Engine Type')['Price'].mean()/cars['Price'].mean()

x1 = cars['Year']
x2 = cars['Mileage']

y = cars['Price']

def func(k,x):
  return k[0]*x[0]+k[1]*x[1]+k[2]

def error(k):
  s = 0
  for i in range(0, len(x1)):
      e = abs(func(k,[x1[i],x2[i]])-y[i])
      s += e
  return s
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