D. In this exercise, you will run a simultaneous multiple regression analysis to predict tl women's level of depression (scores on the CESD depression scale, cesd) based on a sf12phys (#44) and sf12ment (#45). Select Analyze + Regression _. Linear. Insert t variable cesd in the box labeled Dependent. Insert the 3 predictor variables into the h Independent(s). Make sure that Methods is set to \"Enter,\" the command for entering predictors simultaneously. Then OK to run the analysis. Answer the following questi: a. How large is the sample on which the regression analysis was run? What is the value of R2 and what does it mean? What is the value of adjusted R2? What is the F value and p level? Will you reject the null hypothesis? What is the df for regression? What predictors are significant and at what p level? Write a paragraph summarising the multiple regression results. rte-"wee