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Author Question: Computer output in the scenario described in problem #8 reports that s = 2.3. Which is the correct ... (Read 462 times)

eruditmonkey@yahoo.com

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on: Aug 30, 2019

Question 1

A regression model examining the amount of distance a long distance runner runs (in miles) to predict the amount of fluid the runner drinks (ounces) has a slope of 4.6. Which interpretation is appropriate?
◦ The correlation is needed to interpret this value.
◦ We predict for every mile run, the runner drinks 4.6 more ounces.
◦ A runner drinks a minimum of 4.6 oz.
◦ Each mile adds 4.6 more ounces.
◦ We predict 4.6 miles for every ounce that is drunk.

Question 2

Computer output in the scenario described in problem #8 reports that s = 2.3. Which is the correct interpretation of this value?
◦ The slope of the regression line is 2.3 lights per dollar.
◦ The initial cost, even with no lights is $2.30.
◦ The slope of the regression line is $2.30 per light.
◦ The average prediction error of the regression line is $2.30.
◦ The correlation is 2.3.
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Marked as best answer by eruditmonkey@yahoo.com on Aug 30, 2019

xoxo123

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Reply #1 on: Aug 30, 2019
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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eruditmonkey@yahoo.com

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Reply 2 on: Aug 30, 2019
Gracias!

Liddy

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Reply 3 on: Yesterday
Wow, this really help

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