Question: Data for 51 U.S. "states" ( 50 states, plus the District of Columbia) was used to examine the relationship between violent crime rate (violent crimes per 100,000 persons per year) and the predictor variables of urbanization= $\underline{\text { Urban (percentage of the population living in }}$ urban areas) and poverty rate= Poverty. A predictor variable indicating whether or not a state is classified as a Southern state $=$ South (1 = Southern, $0=$ not) was also included. Some output for the analysis of this data is shown below (with some information intentionally left blank).

1. Predicted violent crime rate for a non-Southern state with an urbanization of $65.6$ and a poverty rate of $8.0$ is:
2. Complete ALL the missing information in the coefficient table and degrees of freedom in the ANOVA Table above
3. Complete the missing SS and MS values in the ANOVA Table above
4. Complete the F-Statistics for the ANOVA Table above
5. What is/are the critical value(s) for testing the global null hypothesis at \(\alpha=0.01\) level?
6. What is the Coefficient of Determination ( \({{R}^{2}}\) )?
7. What is the Adjusted Coefficient of Determination (Adjusted R ² )?

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