This question comes from the Intro to Statistical Learning book & the dataset is too large to put here. It can be found at statlearning.com. Please work in R.

3. Solve Exercise 10 of Chapter 3 (Multiple Linear Regression) o Create an R script to answer parts (a) and (d)-(g) Use R comments (#) to elaborate parts (d) and (f), but include the necessary R statements (i.e., calculations) that support your answers o Create an Excel Workbook to answer part (e) Export the Carseats data to a CSV file from R (i.e., using the function write.cs) 10. This question should be answered using the Carseats data set. (a) Fit a multiple regression model to predict Sales using Price, (b) Provide an interpretation of each coefficient in the model. Be (c) Write out the model in equation form, being careful to handle (d) For which of the predictors can you reject the null hypothesis f your response to the previous question, fit a Urban, and US careful- some of the variables in the model are qualitative! the qualitative variables properly (e) On the basis o smaller model that only uses the predictors for which there is evidence of association with the outcome (f) How well do the models in (a) and (e) fit the data? (g) Using the model from (e), obtain 95% confidence intervals for the coefficient(s) (h) Is there evidence of outliers or high leverage observations in the model from (e)? 3. Solve Exercise 10 of Chapter 3 (Multiple Linear Regression) o Create an R script to answer parts (a) and (d)-(g) Use R comments (#) to elaborate parts (d) and (f), but include the necessary R statements (i.e., calculations) that support your answers o Create an Excel Workbook to answer part (e) Export the Carseats data to a CSV file from R (i.e., using the function write.cs) 10. This question should be answered using the Carseats data set. (a) Fit a multiple regression model to predict Sales using Price, (b) Provide an interpretation of each coefficient in the model. Be (c) Write out the model in equation form, being careful to handle (d) For which of the predictors can you reject the null hypothesis f your response to the previous question, fit a Urban, and US careful- some of the variables in the model are qualitative! the qualitative variables properly (e) On the basis o smaller model that only uses the predictors for which there is evidence of association with the outcome (f) How well do the models in (a) and (e) fit the data? (g) Using the model from (e), obtain 95% confidence intervals for the coefficient(s) (h) Is there evidence of outliers or high leverage observations in the model from (e)