8.35 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) poverty% -29.901 7.789 -3.839 0.001 2.559 0.390 6.562 0.000 s = 5.512 R? = 70.52% Radj = 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.

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Murder and Poverty hypothesis testing exercise.

8.35 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)
poverty%
-29.901
7.789
-3.839
0.001
2.559
0.390
6.562
0.000
s = 5.512
R? = 70.52%
Radj = 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.
Transcribed Image Text:8.35 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) poverty% -29.901 7.789 -3.839 0.001 2.559 0.390 6.562 0.000 s = 5.512 R? = 70.52% Radj = 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.
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