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QUESTION 9 Download data, multiple Regression Standby.xlsx from Bb. Note that for the data, Standby hours are dependent variable and rests are independent variables. From

QUESTION 9 Download data, multiple Regression Standby.xlsx from Bb. Note that for the data, Standby hours are dependent variable and rests are independent variables. From the VIF analysis, we have eliminated Partime. Let us assume that the regression model without Partime is valid. Get the regression outputs using R without Partime. Which one is the correct one about the coefficient of Total.Staff? Alpha = 0.05.

a. If Total.Staff hour is up by 1 hour, mean of standby hours is up by 1.38 hours.

b. If Total.Staff hour is up by 1 hour, standby hours are up by 1.38 hours.

c. If standby hour is up by 1 hour, Total.Staff hours are up by 1.38 hours.

d. If standby hour is up by 1 hour, mean of Total.Staff hours is up by 1.38 hours.

QUESTION 10 Which one is the correct one? Choose all applied.

a. If the Multiple R squared of a regression model is 0.854, then the descriptive ability of the regression model is very good.

b. If the Multiple R squared of a regression model is 0.854, then the descriptive ability of the regression model is not good.

c. If the width of 95% confidence interval of prediction of dependent variable is not large, the predictive ability of a regression model is good.

d. If the width of 95% confidence interval of prediction of dependent variable is large, the predictive ability of a regression model is good.

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