Question 10: For LinearRegression with equation Y = W_0X_0+W_1X_1+W_2…

For LinearRegression with equation $Y = W_0X_0+W_1X_1+W_2X_2$ and given that $W_2 = 2*W_1$.

What will be the value of the $W_2$ for the below code if the model doesn't make any error?

(Write the answer correct upto one decimal)

Where $X_1$ and $X_2$ are column1 and column2 respectively and $W_1$ and $W_2$ are weights associated to the respected columns while fitting

1from sklearn.linear_model import LinearRegression
2X_train = [[1,2], [2,4], [3,6], [4,8]]
3y_train = [1,2,3,4]
4reg = LinearRegression(fit_intercept=False) #intercept=0
5reg.fit(X_train,y_train)
6print(reg.coef_[1])