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Author Question: The maintenance costs incurred over the past year for a particular make, model, and year of ... (Read 45 times)

jeatrice

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on: Apr 7, 2020
The maintenance costs incurred over the past year for a particular make, model, and year of automobile are given below, along with each car's end-of-year mileage. Use technology to compute a p-value and use it to determine whether the regression equation is useful for making predictions about maintenance costs for this automobile model. Test at the 1% significance level with the hypotheses H0: β1 = 0 and Make sure to eliminate any outliers and/or influential points from the data.


◦ p = 0.00014. Since p < α, reject the null hypothesis. The regression equation is useful for making maintenance cost predictions.
◦ p = 0.00014. Since p < α, do not reject the null hypothesis. The regression equation is not useful for making maintenance cost predictions.
◦ p = 0.02317. Since p > α, do not reject the null hypothesis. The regression equation is not useful for making maintenance cost predictions.
◦ p = 0.02317. Since p > α, reject the null hypothesis. The regression equation is useful for making maintenance cost predictions.
Introductory Statistics ¦ Weiss ¦ 10th Edition
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Marked as best answer by jeatrice on Apr 7, 2020

bd5255

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Reply #1 on: Apr 7, 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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jeatrice

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Reply 2 on: Apr 7, 2020
Wow, this really help

strudel15

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Reply 3 on: Yesterday
:D TYSM

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