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Author Question: In a comprehensive road test on all new car models, one variable measured is the time it takes a car ... (Read 65 times)

darbym82

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on: Jan 16, 2020
In a comprehensive road test on all new car models, one variable measured is the time it takes a car to accelerate from 0 to 60 miles per hour. To model acceleration time, a regression analysis is conducted on a random sample of 129 new cars.
TIME60:  y = Elapsed time (in seconds) from 0 mph to 60 mph
MAX: x1 = Maximum speed attained (miles per hour)
Initially, the simple linear model E(y) = β0 + β1x1 was fit to the data. Computer printouts for the analysis are given below:

UNWEIGHTED LEAST SQUARES LINEAR REGRESSION OF TIME60







CASES INCLUDED 129   MISSING CASES 0

Approximately what percentage, rounded to the nearest whole percent, of the sample variation in acceleration time can be explained by the simple linear model?
◦ 70%
◦ -17%
◦ 8%
◦ 0%
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Marked as best answer by darbym82 on Jan 16, 2020

Bigfoot1984

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Reply #1 on: Jan 16, 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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darbym82

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Reply 2 on: Jan 16, 2020
Excellent

EAN94

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Reply 3 on: Yesterday
Wow, this really help

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