2 3 4 5 7 10 This Question 1 pt This Test 10 pts Time Remain

2 3 4 5 7 10 This Question: 1 pt This Test: 10 pts Time Remaining: 01:04:08 0 of 10 complete The accompanying multiple regression model was developed to relate violent crime to police officer wage and graduation rate. A hypothesis test (at = 0.05) for the true coefficient of Police Officer Wage with Ho·Poffice-0 and Ha °fficer0 produced a p value of 0.5262 and the null hypothesis was not rejected. A Senate aide accepts this analysis but claims that it demonstrates that if the state pays police more, it will actually increase the rate of violent crime. Explain why this interpretation is not a valid use of this regression model. Offer some alternative explanations. Click to view the regression table Explain why this interpretation is not a valid use of this regression model. Select all appropriate responses below A.The value of the coefficient suggests an inverse relationship rather than a direct one. B. The causal interpretation is backwards, an increase in violent crime causes an increase in police officer wage. C. The coefficient of police officer wage can not be distinguished from 0 D. This is a causal interpretation, which is not supported by regression. Offer some alternative explanations. Select all reasonable explanations below A. States with higher costs of living must pay more to attract qualified police officers but also have higher crime rates (e.g. a state that is composed of B. C. D. large cities) It may be that states with higher violent crime rates choose (or are obliged) to spend more to hire police officers States with low graduation rates will not have to pay police officers as much due to lack of competition. In states with high police officer wages, the police may overreport violent crimes to justify their salaries. Click to select your answer(s)

Solution

for the firs question

letter D

for the second question

A and B

 2 3 4 5 7 10 This Question: 1 pt This Test: 10 pts Time Remaining: 01:04:08 0 of 10 complete The accompanying multiple regression model was developed to relate

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