Make surc to show all your work. Points arc given for both thc correct answer and a detailed solution to thc correct answer. Include R code, output, and plots whenever applicable. 1. (13 pt,s) Answerhefollowing questions based on the Davis that you have seen ill a previous lecture. We would like to fit a simple linear regression model using measured weight (weight) and reported weight (repwt) as the rctsponse and predictor, respectively. Please load thc Davis data in R, remove thc outlying observation 12, and remove missing values (coded as NA) with thc following code: library ( car ) data (Dav is ) Davis