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| 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-hourwork shift (12 A.M.–8 A.M., 8 A.M.–4 P.M., 4 P.M.–12 A.M.) when the data were collected.The fitted regression equation was AvgOccupancy = 11.2 + 1.19 Mon − 0.187 Tue − 0.785 Wed − 0.580 Thu − 0.451 Fri − 0.267 Sat − 4.58 Shift1 − 1.65 Shift2 (SE = 6.18, R2 = .094, R2adj = .093). |
| (a) | The analyst used only six binaries for days when there are 7 days in a week because one binary must be omitted to prevent perfect multicollinearity. |
Yes or no
| (b) | The analyst used only two work shift binaries when there are three work shifts |
Because one binary could be ignored as predator
So as to simplify the calculations
To prevent perfect multicollinerity
| (c) | The busiest day is.Thursday Monday Wednesday or Saturday |
| (d) | The busiest shift is.Shift 1 2 or 3 |
| (e) | The intercept represents the AvgOccupancy on Sundays during Shift 3. |
True or false
| (f) | The regression fit is. |
Poor or Very good
SOURCE: WWW.ROYALRESEARCHERS.COM
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