A simple regression analysis is performed to relate maintenance expense (Y, dollars per month) to usage (X, hours per week). A random sample of 82 observations showed an F-statistic of 10 in the ANOVA...


A simple regression analysis is performed to relate maintenance expense (Y, dollars per month) to usage (X, hours per week). A random sample of 82<br>observations showed an F-statistic of 10 in the ANOVA table, and the scatter plot suggested that maitenance expense increases as usage increases. The<br>sample variance of Y is 100.<br>Question 17. The sample correlation coefficient between X and Y is closest to<br>O 1/4<br>O 1/9<br>O 1/5<br>O 1/2<br>O 1/3<br>o ooo o<br>

Extracted text: A simple regression analysis is performed to relate maintenance expense (Y, dollars per month) to usage (X, hours per week). A random sample of 82 observations showed an F-statistic of 10 in the ANOVA table, and the scatter plot suggested that maitenance expense increases as usage increases. The sample variance of Y is 100. Question 17. The sample correlation coefficient between X and Y is closest to O 1/4 O 1/9 O 1/5 O 1/2 O 1/3 o ooo o

Jun 07, 2022
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