A dry-cleaning chain is assessing the relationship between \"Hours of operation
ID: 3395131 • Letter: A
Question
A dry-cleaning chain is assessing the relationship between "Hours of operation (X)", & "Sales Revenue (Y)" During 1 month in 2012, data was collected from n-39 stores. Use computer output for questions 20 and 21. Coefficients Standard Error tStat P-value Intercept 1576.21341.17 11341.17 4.621 0.000 4.62 0.0001 Hours ( 196.75 1.50 0.1479 145.13 20. In the computer output above, the slope coefficient indicates that for every one unit increase in a) Sales Revenue(Y), there is a $1576.21 increase in Hours of Operation b) Sales Revenue(Y), there is a 96.75 percent increase in Hours of Operation c) Hours of Operation(X), there is a $145.13 increase in Sales Revenue d) Hours of Operation(X), there is a 14.79 percent increase in Sales RevenueExplanation / Answer
20.
C is the answer. With unit increase in hours of operation there is $145.13 increase in sales revenue
$145.13 is the slope of the line of regression.
21.
0.1479 is very high > 10% we fail to reject null hypothesis slope is zero
Hence B is the answer
Hours is not statistically significant predictor , drop it from line of regression
22.
Answer is B
As the problems completed increases the time completed increases and time remaining
Decreases.
23.
Answer is B
With increase in X the value of Y decreases.
20.
C is the answer. With unit increase in hours of operation there is $145.13 increase in sales revenue
$145.13 is the slope of the line of regression.
21.
0.1479 is very high > 10% we fail to reject null hypothesis slope is zero
Hence B is the answer
Hours is not statistically significant predictor , drop it from line of regression
22.
Answer is B
As the problems completed increases the time completed increases and time remaining
Decreases.
23.
Answer is B
With increase in X the value of Y decreases.
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