7.13 LAB: Regression with nonlinear relationships

• "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:

 sum_sq df F PR(>F) wt 0.397038 1.0 0.120078 0.731452 exp_wt 0.077859 1.0 0.023547 0.879105 Residual 95.888614 29.0 NaN NaN