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Author Question: A simple linear regression betweeny(weight in pounds) andx(height in inches) results in the ... (Read 56 times)

kmcolvin

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on: Feb 26, 2023

Question 1

Which of the following statements is true about theFdistribution?

◦

F0.05, 10, 20= 1/F0.95, 10, 20


◦

F0.05, 10, 20= 1/F0.05, 20, 10


◦

F0.05, 10, 20= 1/F0.95, 20, 10


◦

F0.95, 10,20= 1/F0.95, 10, 20



Question 2

A simple linear regression betweeny(weight in pounds) andx(height in inches) results in the following least-squares line:y= 128 + 6x. This tells us that if the height is increased by 1 in, then. on average. the weight is predicted to:

◦

decrease by 1 lb.


◦

decrease by 6 lb.


◦

increase by 6 lb.


◦

increase by 128 lb.

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Marked as best answer by kmcolvin on Feb 26, 2023

miro2222

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Reply #1 on: Feb 26, 2023
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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kmcolvin

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Reply 2 on: Feb 26, 2023
Thanks for the timely response, appreciate it

miss.ashley

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Reply 3 on: Yesterday
Wow, this really help

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