The business problem facing the director of broadcasting operations for a television station was the issue of standby hours (.e. 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 through Standby hours (Y)-Total number of standby hours in a week Total staff present (%) -Weekly total of people-days Remote hours (2) --- Number of hours worked by employees off-site Click the icon to view the data table a. State the multiple regression equation 9.-0xx2 (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. OA 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 OB. 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 Dy and by its respect OC. 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 apresentacione unit hours is estimated to result in a mean decrease in standby hours of the absolute value of by units OD. The slopes, b, and bz. cannot be interpreted individually c. Explain why the regression coefficient, bo, has no practical meaning in the context of this problem Choose the correct answer below O A. The coefficient by 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 OB. The coefficient bo has no practical meaning in this context because it estimates the standby hours when there are no staff present and no remote hours OC. The coefficient by has no practical meaning in this context because Y depends on not only bo, but b, and be as well, and their meaning cannot be separated. OD. The coefficient by has no practical meaning in this context because it corresponds to the number of staff present and the remote hours when there are no standby hours 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. Click to select your answer(s). Standby Hours phic artists bm the stud an absolute va tal mean increa rese units. For a g rese Standby Hours (Y) 247 177 270 211 196 135 195 118 116 147 154 146 115 161 274 245 201 183 237 175 152 188 188 197 261 232 Total Staff Remote Present (X1) Hours (X2 338 414 333 600 358 656 372 631 341 528 289 399 334 382 293 399 325 343 311 338 304 353 312 289 283 388 307 402 322 335 228 350 339 440 327 475 328 347 319 449 325 336 322 267 317 235 315 164 331 270 blute 151 xt of the 271 close urs. mates ti bparated. ends of te no standby! respond we 310 pe Print Done The business problem facing the director of broadcasting operations for a television station was the issue of standby hours (.e. 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 g 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 employees off-site Click the icon to view the data table. OD. The coefficient be has no practical meaning in this context because it corresponds to the number of staff present and the remote hours when there are no standby hours 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. There would be standby hours predicted for the week, (Round to two decimal places as needed.) e. Construct a 95% confidence interval estimate for the mean standby hours for weeks in which the total staff present have 310 people-days and the remote hours are 400 The 95% confidence interval estimate is swxs (Round to two decimal places as needed.) f. Construct a 95% prediction interval for the standby hours for a single week in which the total staff present have 310 people-days and the remote hours 400 The 95% prediction interval for the standby hours is sYxs (Round to two decimal places as needed.) g. What conclusions can you reach concerning standby hours? O A 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 OB. The model can use the number of staff present or the remote hours to predict the number of standby hours, but not both OC. 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 OD. 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 Question Viewer