The business problem facing the director of broadcasting operations for a television station was the issue of standby hours (i.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 throughg below. Standby hours (Y-Total number of standby hours in a week Total staff present (X,)-Weekly total of people-days Remote hours (X,)-Number of hours worked by employees off-site - X E Click the icon to view the data table. Standby hours a. State the multiple regression equation. Standby Total Staff Remote Y =-328.6 + (1.8) x, + - 328.6) X, (Round to one decimal place as needed.) Hours (Y) Present (X4) Hours (X2) 247 338 333 358 372 337 414 177 600 656 269 211 196 135 195 118 631 528 289 419 334 382 399 343 338 353 293 116 325 147 311 154 304 146 312 289 115 283 307 322 335 388 161 402 274 151 245 228 201 350 271 183 237 175 339 440 475 347 449 336 267 235 327 328 152 319 325 188 188 322 197 317 261 315 164 232 331 270
The business problem facing the director of broadcasting operations for a television station was the issue of standby hours (i.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 throughg below. Standby hours (Y-Total number of standby hours in a week Total staff present (X,)-Weekly total of people-days Remote hours (X,)-Number of hours worked by employees off-site - X E Click the icon to view the data table. Standby hours a. State the multiple regression equation. Standby Total Staff Remote Y =-328.6 + (1.8) x, + - 328.6) X, (Round to one decimal place as needed.) Hours (Y) Present (X4) Hours (X2) 247 338 333 358 372 337 414 177 600 656 269 211 196 135 195 118 631 528 289 419 334 382 399 343 338 353 293 116 325 147 311 154 304 146 312 289 115 283 307 322 335 388 161 402 274 151 245 228 201 350 271 183 237 175 339 440 475 347 449 336 267 235 327 328 152 319 325 188 188 322 197 317 261 315 164 232 331 270
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
Problem 6E: Urban Travel Times Population of cities and driving times are related, as shown in the accompanying...
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Transcribed Image Text:The business problem facing the director of broadcasting operations for a television station was the issue of standby hours (i.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 throughg below.
Standby hours (Y)-Total number of standby hours in a week
Total staff present (X,)-Weekly total of people-days
Remote hours (X,)-Number of hours worked by employees off-site
E Click the icon to view the data table.
Standby hours
a. State the multiple regression equation.
Standby
Hours (Y) Present (X,) Hours (X2)
247
Total Staff
Remote
Ý, =- 328.6 + (1.8) x, + (-
328.6)X (Round to one decimal place as needed.)
338
333
358
372
337
414
177
600
656
269
211
631
196
135
195
118
116
147
528
289
419
334
382
293
399
343
338
353
325
311
154
304
146
312
289
115
283
307
322
335
388
161
402
274
151
245
228
201
350
183
237
175
271
440
475
347
339
327
328
152
319
325
449
336
267
235
188
188
322
197
317
315
261
164
232
331
270
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