Using R, parts C and D

I:lltrnsider the Wage dataset available in the ISLE library. library {ISLE} data {Triage}I The response variable {y} of interest here is IIarage. Answer the following questions towards the development of a predictive model for this dataset. a. Implement a multiple linear regression model with Iwage as the response (y) and the variables age, maritl, race, education, and jobclass as predictorsfindependent variables and print the summary table of you model. b. Discuss your interpretation of various aspects the summary table that you obtain in part {a}. c. Note that the independent variables maritl, race, education, and jobclass are categorical variables. In view of this observation perform a hypothesis test to determine whether each of these variables are signicantly associated with the response variable. d. Analyze the residuals of the model that you implemented in part [a]. Discuss your observations and propose suitable solutions to the problems that you observe. In particular, make sure to comment on your observations regarding the issues of Hetemskedcsticity and Coilinecrity