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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
13.36  In a model of Ford’s quarterly revenue TotalRevenue = β0 + β1 CarSales + β2 TruckSales + β3 SUVSales + ε, the three predictors are measured in number of units sold (not dollars). (a) Interpret each slope. (b) Would the intercept be meaningful? (c) What factors might be reflected in the error term? Explain.
13.37Â Â In a study of paint peel problems, a regression was suggested to predict defects per million (the response variable). The intended predictors were supplier (four suppliers, coded as binaries) and substrate (four materials, coded as binaries). There were 11 observations. Explain why regression is impractical in this case, and suggest a remedy.
13.38  A hospital emergency room analyzed n = 17,664 hourly observations on its average occupancy rates using six binary predictors representing days of the week and two binary predictors representing the 8-hour work shift (12 A.M.–8 A.M., 8 A.M.– 4 P.M., 4 P.M.–12 A.M.) when the ER census was taken. The fitted regression equation was AvgOccupancy = 11.2 + 1.19 Mon − 0.187 Tue − 0.785 Wed − 0.580
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Thu − 0.451 Fri − 0.267 Sat − 4.58 Shift1 − 1.65 Shift2 (SE = 6.18, R2 = .094, R2
= .093).
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(a) Why did the analyst use only six binaries for days when there are 7 days in a week? (b) Why did the analyst use only two work shift binaries when there are three work shifts? (c) Which is the busiest day? (d) Which is the busiest shift? (e) Interpret the intercept. (f ) Assess the regression’s fit.
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