1. (points: 6) Use automatic model selection techniques to find the best multiple regression model for the outcome, api99 and starting with these variables (acs_k3 acs_46 avg_ed dnum ell emer enroll full growth hsg mealcat mobility yr_rnd) as potential predictors. (Make sure that the final model is 'valid') 2. (points: 6) Compare your proposed model from above to 4 others. Explain how you are going to obtain these competing models. Finally, fill this table below with the results from the 5 models and justify your final model of choice (from among these). Model R2 Adjusted R2 Cp AIC Predictors in model 1 2 3 4 5 3. (points: 8) Fit the final model chosen above (#2). Provide the estimated sample regression model and interpret the model parameters (along with their significance)