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Author Question: An elections officer wants to model voter turnout (y) in a precinct as a function of the type of ... (Read 45 times)

fasfsadfdsfa

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on: Feb 14, 2020

Question 1

The model E(y) = β0 + β1x1 + β2x2 + β3x3 was used to relate E(y) to a single qualitative variable. How many levels does the qualitative variable have?

Question 2

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:

E(y) = β0 + β1x1 + β2x2, where x1 = 1 if urban, 0 if not
x2 = 1 if suburban, 0 if not
(Base level = rural)

The p-value for the test H0: β1 = β2 = 0 is .14. Interpret the result.
◦ Reject H0 at α = .10; the model is useful for predicting voter turnout.
◦ Reject the model since it only explains 14% of the variation.
◦ Do not reject H0 at α = .10; there is no evidence of a difference between the mean voter turnouts for urban, suburban, and rural precincts.
◦ Reject H0 at α = .01; there is evidence of a difference between the mean voter turnouts for urban, suburban, and rural precincts.
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by fasfsadfdsfa on Feb 14, 2020

zacnyjessica

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Reply #1 on: Feb 14, 2020
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fasfsadfdsfa

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Reply 2 on: Feb 14, 2020
:D TYSM

JaynaD87

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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