The production engineer for the manufacturing plant in Exercise 17.61 has just included another variable: the worker’s gender, coded as 1 = female and 0 5 male. File XR17065 contains the expanded set of data. With y = productivity (units/hour), x1 = number of units in the backlog area, and x2 = gender, fit a first order model with no interaction term. Interpret the partial regression coefficients and the R2 value. At the 0.02 level, is the model significant?
Answer to relevant QuestionsThe sales director for an industrial supplies firm has collected information describing the performance and personal characteristics of 80 members of her sales force. The data in file XR17066 include the percent of sales ...Given the situation and variables described in Exercise 17.66 and data file XR17066, use y 5 percent of sales quota in performing a stepwise regression using the other variables as predictors. Interpret the results, ...They are coded according to the scheme described in Section 17.4. For a technology company, technology = 1 and the other dummy variables will be 0. For a financial services company, financial = 1 and the others will be 0. If ...For the data of Exercise 18.13: a. Obtain the centered moving average for N = 4; for N = 12. b. When N = 12 months, the centered moving average is relatively smooth compared to N = 4. Aside from the fact that it includes a ...Given the degree-day data of Exercise 18.11, (a) determine the monthly seasonal indexes for January through December, then (b) use these indexes to deseasonalize the original time series. In exercise
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