The following regression output is for predicting annual murders per million from percentage living in poverty in a random sample of 20 metropolitan areas.

40 30- Annual Murders per Million 20 10- 14% 18% 22% 26% Percent in Poverty Estimate Std. Error t value Pr(> It[) (Intercept) -29.901 7.789 -3.839 0.001 poverty% 2.559 0.390 6.562 0.000 8 = 5.512 R- = 70.52% Radi = 68.89% 1. Write out the linear model. 2. Interpret the intercept. 3. Interpret the slope. 4. What are the hypotheses for evaluating whether poverty percentage is a significant predictor of murder rate? State the conclusion of the hypothesis test in context of the data. 5. What is the predicted annual murders per million for 20% in poverty