For a sample of 20 New England cities, a sociologist studies the crime rate in each city (crimes per 100,000 residents) as a function of its poverty rate (in %) and its median income (in $1,000s). A portion of the regression results is shown in the accompanying table.

a. Specify the sample regression equation.

b. At the 5% significance level, show whether the poverty rate and the crime rate are linearly related.

c. Construct the 95% confidence interval for the slope coefficient of income. Using the confidence interval, determine whether income is significant in explaining the crime rate at the 5% significance level.

d. At the 5% significance level, are the poverty rate and income jointly significant in explaining the crime rate?

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ANOVA df SS MS F Significance F Regression Residual Total 2 188246.8 94123.4 9.04E-07 17 45457.32 2673.96 19 233704.1 Standard Lower Upper t Stat value 549.7135 -0.5487 0.5903-1,461.52 858.28 Coefficdents Eror 95% 95% Intercept-301.62 Poverty 53.1597 14.2198 3.7384 0.0016 23.16 83.16 Income 4.9472 8.2566 0.5992 0.5569 -12.47 22.37