Compute the partial correlation coefficient for the relationship between turnout (Y) and negative advertising (X) while controlling for the effect of unemployment rate (Z). What effect does this control variable have on the bivariate relationship? Is the relationship between turnout and negative advertising direct? (7 pts) Find the unstandardized multiple regression equation with turnout as the dependent variable (Y) and unemployment (X1) and negative ads (X2) as the independent variables. What turnout would be expected in a city in which the unemployment rate was 10% and 75% of the campaign ads were negative? (7 pts) Compute beta-weights for each independent variable. Which has the stronger impact on turnout? (7 pts) Compute the multiple correlation coefficient (R) and the coefficient of multiple determination (R2). How much of the variance in voter turnout is explained by the two independent variables? (6 pts) paragraph summarizing your conclusions about the relationships among these three variables. (6 pts) City Turnout Unemployment Rate % Negative Ads A 55 5 60 B 60 8 63 C 65 9 55 D 68 9 53 E 70 10 48 Mean = 63.6 8.2 55.8 s = 5.5 1.7 5.3 CORRELATIONS Unemployment Rate Negative Ads Turnout 0.95 0.87 Unemployment Rate 0.70