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An Elections Officer Wants to Model Voter Turnout (Y)in a Precinct

Question 128

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An elections officer wants to model voter turnout (y) in a precinct as a function of the type of precinct. Consider the model relating mean voter turnout, E(y) E ( y ) , to precinct type:
 An elections officer wants to model voter turnout (y) in a precinct as a function of the type of precinct. Consider the model relating mean voter turnout,  E ( y )  , to precinct type:    The  p -value for the test  H _ { 0 } : \beta _ { 1 } = \beta _ { 2 } = 0  is .14. Interpret the result. A)  Reject  H _ { 0 }  at  \alpha = .10 ; the model is useful for predicting voter turnout. B)  Reject the model since it only explains  14 \%  of the variation. C)  Do not reject  H _ { 0 }  at  \alpha = .10 ; there is no evidence of a difference between the mean voter turnouts for urban, suburban, and rural precincts. D)  Reject  H _ { 0 }  at  \alpha = .01 ; there is evidence of a difference between the mean voter turnouts for urban, suburban, and rural precincts.

The pp -value for the test H0:β1=β2=0H _ { 0 } : \beta _ { 1 } = \beta _ { 2 } = 0 is .14. Interpret the result.


A) Reject H0H _ { 0 } at α=.10\alpha = .10 ; the model is useful for predicting voter turnout.
B) Reject the model since it only explains 14%14 \% of the variation.
C) Do not reject H0H _ { 0 } at α=.10\alpha = .10 ; there is no evidence of a difference between the mean voter turnouts for urban, suburban, and rural precincts.
D) Reject H0H _ { 0 } at α=.01\alpha = .01 ; there is evidence of a difference between the mean voter turnouts for urban, suburban, and rural precincts.

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