The ao ompanying multiple egression model as d eloped to lat violent true coeffi

Question

The ao ompanying multiple egression model as d eloped to lat violent true coefficient of Police Officer Wage with Ho: Pomicer 0 and HA Pmnicer #0 produced a p-value of 0.8262 and the null hypothesis was not rejected. A Senate aide accepts this analysis but claims that it demonstrates thot if the state pays police more, crime to police oficer wage and graduation rate. A hypothesis test (at -0.06) for the it will actually increase the rate of violent crime. Explain why this interpretation is not a valid use of this regression model. Offer some Click to view the regression table. s not a valid use of this regression model. Seledt all appropriate responses below The coefficient of police officer wage can not be distinguished from, 0 This is a causal interpretation, which is not supported by regression. A. B. tion is backwards; an increase in violent crime causes an increase in police officer wage. C. The causal interpretat D. The value of the coefficient suggests an inverse relationship rather than a dred one.

Explanation / Answer

C)the causal interpretation is backward ,an increase in violent crime caused an increase in police officer wage.

A)in states with high police officer wages ,the police may over report violent crimes to justify their salaries.

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