The business problem facing the director of broadcasting operations for a television station was the issue of
Question:
Standby hours (Y)-Total number of standby hours in a week
Total staff present (X1) - Weekly total of people-days
Remote hours (X2) - Total number of hours worked by employees at locations away from the central plant
Data were collected for 26 weeks; these data are organized and stored in Standby.
a. State the multiple regression equation.
b. Interpret the meaning of the slopes, b1 and b2, in this problem.
c. Explain why the regression coefficient, b0, has no practical meaning in the context of this problem.
d. Predict the standby hours for a week in which the total staff present have 310 people-days and the remote hours are 400.
e. Construct a 95% confidence interval estimate for the mean standby hours for weeks in which the total staff present have 310 people-days and the remote hours are 400.
f. Construct a 95% prediction interval for the standby hours for a single week in which the total staff present have 310 people-days and the remote hours are 400.
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Related Book For
Basic Business Statistics Concepts And Applications
ISBN: 9780132168380
12th Edition
Authors: Mark L. Berenson, David M. Levine, Timothy C. Krehbiel
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