Assignment \#7 OLS Regression Output Model Summary a. Predictors: (Constant), pereent of poptalation living within 1/2 mile of a park, percent of households with single parent, percent. poptilation living at or below poverty a. Dependent Variable: percent of population getting no- leisure physical activity standard b. Predictors: (Constant), percent of population living within 1/2 mile of a park, percent of households with single parent, percent population living at or below poverty a. Dependent Variable: percent of population getting no-leisure physical activity standard 4. I have omitted the F statistic from the ANOVA table. Calcalate this value usine the information avallable. F 5. What pereentage of the variance in the dependeat variable is explained by the sariables in the model? 6. Which independent or control variable has the greatest impact on the dependest variable? Fxplain your answer. 7. What do the residual sum of squares represent? What do the regression sum of squares represent? 8. Interpret the unstandardized coefficients for your control and independent variables. 9. Based on the output, make a conclusion about your hypothesis. 10. Write and solve for your prediction equation for case \#15. whose values are as follows: a. percent population living at or below poverty: 15% b. percent of households with single parent:25\% c. percent of population living within 1/2 mile of a park:7o\%.