Consider the mtcars" dataset "built-in with R. With disp as the response variable and with the variables mpg, hp, and wt as predictors in a Stepwise Search, use standard Stepwise Regression in R, along with the AIC criterion, to identify a regression model in this setting with relatively high goodness of-fit but for which model complexity is controlled. What model did the stepwise regression search procedure generate? That is, which of the three predictors should be included in the model and which excluded? Include (cut and paste into the answer field here) the algorithm output results describing the final Step iteration of the algorithm with your answer. (If for some reason you experience any difficulties cutting and pasting these algorithm output results into the answer field here, then instead please include as part of your answer here - simply manually type into the answer field here - the four numbers under the column heading "AIC" in the final Step iteration of the algorithm results. Please do not attach any files or screen shots here and also do not email them separately either. Also, do not include any R code with your answer, only code output results are being requested)