20. Using the multiple regression equation you wrote in Question 16, do the following: a. Setting unemployment at its mean (6.77) and snap at its mean (8.25), calculate the predicted violent-crime rate for a state where 15% of families live below the poverty line. b. Holding unemployment and snap constant at their means, calculate the predicted violent-crime rate for a state where 20% of families live below the poverty line. c. By how much did the predicted rate change? Was this change an increase or decrease?seem to be a strong predictor of violent crime? Explain your answer. 16. Using the data file Socioeconomics and Violence for Chapter 14. sav , run a multiple regression using all three IVs (snap, unemployed , and poverty) . Then do the following: a. Report the value of the ANOVA F and determine whether you would reject the null at an alpha of .05. What does the rejection or retention of F mean? b. Report the R -square value. Using the guidelines provided in the text, interpret the strength of the explanatory power of the IVs. c. Using the numbers in the output, write out the multiple regression equation for y. d. Determine whether each b is statistically significant at a = .05, and explain how you arrived at these decisions. e. Identify the beta weights for each significant IV and compare them. Which one is strongest? Weakest? f. What is your substantive conclusion? Do these variables seem to be strong predictors of violent crime rates? Explain your answer. 17 leing the iltinla nation you wrote in Question 16 find the