The data file Socioeconomics and Violence for Chapter 14.sav at www.sagepub.com/gau contains a sample of states. Violent crime rates (the variable violentrate) is the DV. The IVs are the percentage of...

The data file Socioeconomics and Violence for Chapter 14.sav at www.sagepub.com/gau contains a sample of states. Violent crime rates (the variable violentrate) is the DV. The IVs are the percentage of households receiving food stamps (Supplemental Nutrition Assistance Program, or SNAP; snap) ; the percentage of the adult civilian workforce that is unemployed (unemployed) ; and the percentage of families that are below the poverty line (poverty) . Run a bivariate regression using the DV violentrate and the IV unemployed to test for a relationship between unemployment and violent crime. Do not include the other variables. Then do the following:

1. 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? 2. Report the R -square value. Using the guidelines provided in the text, interpret the strength of the explanatory power of the IV. 3. Using the numbers in the output, write out the bivariate regression equation for ŷ. 4. Determine whether b is statistically significant at ⍺ = .05, and explain how you arrived at this decision. 5. If appropriate, identify the value of the beta weight. 6. What is your substantive conclusion? Does the unemployment rate seem to be a strong predictor of violent crime? Explain your answer