CHAPTER 8. INTRODUCTION TO LINEAR REGRESSION
8.37 Murders and poverty, Part II. Exercise 8.25 presents regression output from a model for predicting
annual murders per million from percentage living in poverty based on a random sample of 20 metropolitan
areas. The model output is also provided below.
Estimate Std. Error t value Pr(>|t|)
(Intercept)
-29.901
7.789
-3.839
0.001
poverty%
2.559
0.390
6.562
0.000
s = 5.512
R2 = 70.52% Radi = 68.89%
(a) What are the hypotheses for evaluating whether poverty percentage is a significant predictor of murder
rate?
(b) State the conclusion of the hypothesis test from part (a) in context of the data.
(c) Calculate a 95% confidence interval for the slope of poverty percentage, and interpret it in context of
the data.
(d) Do your results from the hypothesis test and the confidence interval agree? Explain.
8.38 Babies. Is the gestational o