Please answer in Python Code taking the example output and Default template into consideration. Thank you.

Default Template

# Import the necessary modules

cars = # Code to read in mtcars.csv

# Create a new column in the data frame called exp_wt which is the negative exponentiation of the column wt

# Perform multiple linear regression with mpg as the response variable and wt and exp_wt # in that order, as the predictor variables results = # Code to perform multiple regression using statsmodels ols

# Create an analysis of variance table aov_table = # Code to create ANOVA table

# Print the analysis of variance table print(aov_table)

- Load the mtcars.csv data set into a data frame. - Create a new column in the data frame, exp_wt, that is the negative exponentiation of of the column wt. - Use the ols function to perform a multiple regression with mpg as the response variable and wt and exp_wt, in that order, as the predictor variables. - Create an analysis of variance table using the results of the multiple regression. Ex: If the column qsec is used as the response variable instead of mpg, the output is