$5\mathrm{.}7$ 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 $0\mathrm{.}3970381\mathrm{.}00\mathrm{.}1200780\mathrm{.}731452$

exp$\_$wt $0\mathrm{.}0778591\mathrm{.}00\mathrm{.}0235470\mathrm{.}879105$

Residual $95\mathrm{.}88861429\mathrm{.}0$ NaN NaN

$543654\mathrm{.}3894192.$qx$3$zqy$7$

LAB ACTIVITY

$5\mathrm{.}7\mathrm{.}1$: LAB: Regression with nonlinear relationships