I want solution of these exercises.

HW22 2.pdf Adobe Reader File Edit View Window Help 105% open Exercise 1 (Chapter 3 10 Revised This exercise relates to the Cars eat dataset, which can be found in the ISLR package. To begin load in the Carseats data set. The Carseats data set is part of the ISLR library inR. install packagesCISLR') you only have to install the package once library ISLR) Now the data set is contained in the object Carseats. The dataset contains data on the sales o child cars seats in 400 different stores. The data contains 400 observations and 11 variables. Sales: Unit sales in thousands) at each location. Comp Price: Price charged by competitor at each location Income: Community income level (in thousands of dollars) Advertising: Local advertising budget for company at each location (in thousands o dollars Population Population size in region in thousands) Price: Price company charges for car seats at each site ShelveLoc: A factor with levels Bad, Good and Medium indicating the quality of the shelving location for the car seats at each site Age: Average age of the local population Education: Education level at each location Urban: A factor with levels No and Yes to indicate whether the store is in an urban or rural location US: A factor with levels No and Yes to indicate whether the store is in the US or not a) Fit a simple linear regression model to predict Sales using Price. What is the R value? Tools Fill & Sign Comment Sign In Export PDF Adobe ExportPDF Convert PDF files o Word or Excel Select PDF File: HW22 2.pdf le 698 KB Convert To: Microsoft Word .doo) ecognize Text in English (U,S.) Change Convert Create PDF Edit PDF Combine PDF Send Files Store Files