2. In working on your regression assignment, you came up with the following SAS results (NOTE - this problem can be solved WITHOUT having worked on the MRA assignment - the text is enough to solve this question): The REG Procedure Model: MODEL 1 Dependent Variable: SALEP Number of Observations Read 1351 Number of Observations Used 1351 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 11 1. 518728E12 1 . 380662E11 304 .95 <. error corrected total root mse r square dependent mean adj r-sq coeff var parameter estimates standard variable df estimate t value pr> It| Intercept 15631 2295. 99128 6.81 <. totacr . totliv totfix atgar detgar deck carpot asgrhs oprch cprch patio page of answer the following questions relating to this output. a. which above variables are not significant at .05 level. t-statistic is already calculated for you column error standard coefficient. b. calculate a .95 confidence interval around and cprch. what does mean c. would value house be if it had characteristics ii d. estimate made in c your s. mse e. model been based on sales how many degrees freedom have f. building should use r2 or determining best explain>