$14\mathrm{.}13$ HW$2\_$LAB$6$: Regression with transformed variables

This lab will be available until June $21$ st$,11$:$59$ PM EDT

mtcars is a historical dataset from a $1974$ issue of Motor Trend comparing the performance of $32$ cars.

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:

$14\mathrm{.}13\mathrm{.}1$: HW$2\_$LAB$6$: Regression with transformed variables

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