V4

This question should be answered using the Credit data set from ISLR libray, Please go to ISLR package in R to learn more about the Credit dataset. (a) Fit a multiple regression model to predict Balance using Age, Education, and Income. (b) Provide an interpretation of each coefficient in the model. Be careful (c) For which of the predictors can you reject the null hypothesis HO . BI - 07 (e) Fit a larger model that Includes Rating. In addition to Age, Education, and income.. (f) How well do the models in (a) and (e) fit the data? (Explain based on adj R2 and AIC or BIC) (g) Evaluate forecast accuracy of each model. Does Rating improve the forecast accuracy? (Please upload all the Rcode and R results)