ANOVAa Model Sum of Squares df Mean Square F Sig Regression 3.612 1.806 18.644 000 sidual 64.230 363 097 Total 67.842 665 2 Regression 4.736 3 1.579 16.561 000c Residual 63. 106 662 095 Total 67.842 665 3 Regression 5.554 1.389 14.735 .000 Residual 62.28 661 .094 Tota 67.842 365 a. Dependent Variable: Aggression b. Predictors: (Constant), Parenting Style, Sibling Aggression c. Predictors: (Constant), Parenting Style, Sibling Aggression, Use of Computer Games. d. Predictors: (Constant), Parenting Style, Sibling Aggression, Use of Computer Games., Good We have Diet decided Model Summary- to Change Statistics conduct mode Adjusted R Std. Error of R Square Durbin- this R R Square Square the Estimat Change F Change df2 Sig. F Change Watson 231 053 150 112 153 18.644 663 JOO 264b 070 .066 3087 017 11.787 662 001 286 .082 176 30697 .012 8.682 361 003 1.911 a. Predictors: (Constant), Parenting Style, Sibling Aggression b. Predictors: (Constant), Parenting Style, Sibling Aggression, Use of Computer Games. c. Predictors: (Constant), Parenting Style, Sibling Aggression, Use of Computer Games., Good Diet d. Dependent Variable: Aggression regression analysis hierarchically, entering parenting style and sibling aggression in the first model and the remaining predictor variables in the second and third models. Consider the following tables in answering questions 1 to 12:Page 13 of 22 Coefficients Standardized Coefficients Collinearity Statistics Unstandardized Coefficients 95% Confidence Interval for B correlations B Std. Error Bet Bid. Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF mode Constant) .006 012 479 632 .02 01 Sibling Aggression 038 096 2.491 013 020 129 .096 094 970 1.031 093 Parenting Style 063 .012 194 5.057 000 038 086 211 193 191 970 1.03 017 12 (Constant) .007 012 574 566 030 167 933 1.072 Sibling Aggression 068 03 070 1.793 07 .006 142 129 211 164 937 1.067 Parenting Style 054 012 170 4.385 000 030 079 168 Use of Computer Games. 126 03 134 3.433 001 054 197 18 132 129 918 1.090 (Constant) .006 .012 497 .619 .029 017 1.101 Sibling Aggression 086 .038 088 2.258 .024 .011 161 .129 .087 084 908 211 184 397 1.115 Parenting Style 037 087 188 062 .013 194 4.925 .000 .037 153 3.891 .000 .071 216 186 150 145 893 1.120 Use of Computer Games. 143 Good Diet .112 .038 -118 -2.947 .003 -.186 -.037 -.009 -114 -110 870 1.150 a. Dependent Variable: Aggression 1. Looking at the ANOVA table, do the regression models predict the outcome variable? How do you know? What does that mean? 2. A friend of yours is trying to figure out which model is the best model. She asks you which table she should look at. What do you say? 3. Will the R Square always increase as you proceed from one model to the next model in a hierarchical regression? 4. What is the rationale for selecting the best model? a. The last model listed is always the best model b. It was the last model that added a significant R Square value c. It was the only model that listed a Durbin-Watson statistic in the Model Summary table d. The model with the highest R Square value