In: Statistics and Probability
The business problem facing the director of broadcasting operations for a television station was the issue of standby hours (i.e hours in which employees at the station are paid but are not actually involved in any activity) and what factors were related to standby hours. The study included the following variables:
Standby Hours (Y)- Total number of standby hours in a week.
Weekly staff count (X1)- Weekly total of people-days
Remote engineering hours (X2)- Total number of engineering hours worked by employees at locations away from the central plant.
Data was collected for 26 weeks:
Standby | Total Staff | Remote |
245 | 338 | 414 |
177 | 333 | 598 |
271 | 358 | 656 |
211 | 372 | 631 |
196 | 339 | 528 |
135 | 289 | 409 |
195 | 334 | 382 |
118 | 293 | 399 |
116 | 325 | 343 |
147 | 311 | 338 |
154 | 304 | 353 |
146 | 312 | 289 |
115 | 283 | 388 |
161 | 307 | 402 |
274 | 322 | 151 |
245 | 335 | 228 |
201 | 350 | 271 |
183 | 339 | 440 |
237 | 327 | 475 |
175 | 328 | 347 |
152 | 319 | 449 |
188 | 325 | 336 |
188 | 322 | 267 |
197 | 317 | 235 |
261 | 315 | 164 |
232 | 331 | 270 |
a.) determine whether there is a significant relationship between standy hours and the twon independent variables (total staff presnet and remote engineering hours) at the 0.05 level of significance (please show work)
b.) interpret the meaning of the p-value (and please explain why)
c.) compute the coefficent of multiple determination, r2 , and interpret its meaning (show work/explain)
d.) compute the adjusted r2
e) What is the p-value and interpret its results?
Please use in depth Excel