Hin Sum of ANOVA Model Squares df Mean Square F Sig. 1 Regression 2.033 1 2.033 8.715 .003b Residual 10783.456 46226 .233 Total 10785.489 46227 a. Dependent Variable: Log 10 transform of Total Dollars Spent b. Predictors: (Constant), Owner-occupied housing value index (indexed to state median home value) Model 1 Coefficientsa Standardized Unstandardized Coefficients Coefficients Correlations B Std. Error Beta t Sig. Zero-order Partial Part 2.243 .006 369.980 .000 .00013358 .000 .014 2.952 .003 .014 .014 .014 (Constant) Owner-occupied housing value index (indexed to state median home value) a. Dependent Variable: Log 10 transform of Total Dollars Spent Residuals Statistics a Minimum Maximum Predicted Value 2.2434 2.2774 Residual -1.95917 2.05582 Mean 2.2600 .00000 Std. Deviation N .00663 46228 .48298 46228 Std. Predicted Value -2.507 2.629 .000 1.000 46228 Std. Residual -4.056 4.256 .000 1.000 46228 a. Dependent Variable: Log 10 transform of Total Dollars Spent + Comparison 1: Model C: Y B + Model A: Y = Bo + B(Owner Occupied Housing Value Index) + SSE(C) PC SSE(A) PA SSR R F Probability of F Statistic Interpretation of Findings (Include F, Probability of F and R) Prediction Equation for Model A using Unstandardized Regression Coefficients