A large grocery retailer tracks productivity and costs of its facilities closely. Data in the Grocery retailer file were obtained from a single distribution center for a one-year period. Each data point for each variable represents one week of activity. The variables included are total labor hours required to handle a shipment (Y) in the first column, the number of cases shipped (X₁) in the second column, the indirect costs of the total labor hours as a percentage (X₂) in the third column, and a qualitative predictor called holiday (X₃: 1 if holiday week, 0 otherwise) in the last column.

Report the residual plot against predicted Y values ( ). Also report the normal probability plot.

Do they indicate any violations of the regression assumptions: Linearity, normality, homoscedasticity, independence of error terms?.(please

specify each chart separately.)

LaborHours NoShipped IndLaborCost HolidayWeek 4264 305657 7.17 0

4496 328476 6.20 0

4317 317164 4.61 0

4292 366745 7.02 0

4945 265518 8.61 1

4325 301995 6.88 0

4110 269334 7.23 0

4111 267631 6.27 0

4161 296350 6.49 0

4560 277223 6.37 0

4401 269189 7.05 0

4251 277133 6.34 0

4222 282892 6.94 0

4063 306639 8.56 0

4343 328405 6.71 0

4833 321773 5.82 1

4453 272319 6.82 0

4195 293880 8.38 0

4394 300867 7.72 0

4099 296872 7.67 0

4816 245674 7.72 1

4867 211944 6.45 1

4114 227996 7.22 0

4314 248328 8.50 0

4289 249894 8.08 0

4269 302660 7.26 0

4347 273848 7.39 0

4178 245743 8.12 0

4333 267673 6.75 0

4226 256506 7.79 0

4121 271854 7.89 0

3998 293225 9.01 0

4475 269121 8.01 0

4545 322812 7.21 0

4016 252225 7.85 0

4207 261365 6.14 0

4148 287645 6.76 0

4562 289666 7.92 0

4146 270051 8.19 0

4555 265239 7.55 0

4365 352466 6.94 0

4471 426908 7.25 0

5045 369989 9.65 1

4469 472476 8.20 0

4408 414102 8.02 0

4219 302507 6.72 0

4211 382686 7.23 0

4993 442782 7.61 1

4309 322303 7.39 0

4499 290455 7.99 0

4186 411750 7.83 0

4342 292087 7.77 0