The business problem facing the director of broadcasting operations for a television station was the Issue of standby hours (Le. hours in which unionized graphic artists at the station are paid but are not actually involved in any activity) and what factors were related to standby hours. A study of standby hours was conducted for 26 weeks. The variables in the study are described below and the data from the study are shown in the accompanying table. Complete parts a through e below. Standby hours (Y)-Total number of standby hours in a week Total staff present (X, )-Weekly total of people-days Remote hours (X2 )-Number of hours worked by employees off-site !! Click the Icon to view the data table. PLEASE RUN SPSS TO OBTAIN THE REQUIRED DATA TO ANSWER THE QUESTIONS BELOW! a. State the multiple regression equation. " -+()*1 + ()Xa (Round to one decimal place as needed.) b. Interpret the meaning of the slopes, b, and by, In this problem. Choose the correct answer below. A For a given number of remote hours, each increase of one unit of total staff present is estimated to result in a mean increase in standby hours of b, units. For a given number of total staff present, each increase of one unit in remote hours is estimated to result in a mean decrease in standby hours of the absolute value of by units O B. Each increase in standby hours is estimated to result in a mean increase in total staff present of b, units and a mean decrease in remote hours of the absolute value of by units X O G. For a given number of remote hours, each increase of one unit of total staff present and one unit increase in standby hours is estimated to result in a mean increase in remote hours of by and by units, respectively. Standby Hours OD. The slopes, b, and by, cannot be interpreted individually. C. Explain why the regression fficient, be: has no practical meaning in the context of this problem. Choose the correct answer below. Standby Total Staff Remote Hours (Y) Present (X Hours (X2) O A. The coefficient by has no practical meaning in this context b corresponds to the number of staff present and the remote hours when there are no standby hours 245 338 414 177 333 596 O B. The coefficient bo has no practical meaning in this context because Y depends on not only by. but b, and by as well, and their meaning cannot be separated. 270 358 656 211 372 631 O C. The coefficient by has no practical meaning in this context because it estimates the standby hours when there are no staff present and no remote hours. 196 341 528 399 D. The coefficient be has no practical meaning in this context because it is not close in value to any of the data values in the standby hours column. 135 289 195 334 382 118 293 399 d. Predict the mean standby hours for a week in which the total staff present have 310 people-days and the remote hours are 400 116 325 343 147 311 338 There would be standby hours predicted for the week. 154 304 353 146 312 289 (Round to two decimal places as needed.) 115 283 388 161 307 402 e. What of the following is the best conclusion concerning the standby hours model? 274 322 151 245 335 228 A. The model uses the number of staff present to predict the number of standby hours. The remote hours only affects the number of staff present directly. 201 350 271 O B. The model uses the number of remote hours to predict the number of standby hours. The number of staff present only affects the remote hours directly. 183 339 440 237 327 475 O C. The model can use the number of staff present or the remote hours to predict the number of standby hours, but not both. 175 328 347 O D. The model uses both the number of staff present and the remote hours to predict the number of standby hours. This produces a better model than if only one variable were included. 152 319 449 188 325 338 188 322 267 197 317 235 261 315 164 232 331 270