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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 43 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
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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fasfsadfdsfa

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Reply 2 on: Feb 14, 2020
Thanks for the timely response, appreciate it

kalskdjl1212

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Reply 3 on: Yesterday
Gracias!

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