The business problem facing the director of broadcasting operations for a television station was the issue of standby hours 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 were collected for 26 weeks. These data are organized and stored in. A)Interpret the meaning of the coefficients b1and b2 in this problem B)What is the significance of b0? C)Predict the mean standby hours for a week in which the weekly staff count was 310 people-days and the remote-engineering hours total was 400 Standby_hours_(Y) Total_Staff_Present(X1) Remote_Hours_(X2) 247 338 414 177 333 600 269 358 656 211 372 631 196 337 528 135 289 419 195 334 382 118 293 399 116 325 343 147 311 338 154 304 353 146 312 289 115 283 388 161 307 402 274 322 151 245 335 228 201 350 271 183 339 440 237 327 475 175 328 347 152 319 449 188 325 336 188 322 267 197 317 235 261 315 164 232 331 270
The business problem facing the director of broadcasting operations for a television station was the issue of standby hours 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 were collected for 26 weeks. These data are organized and stored in. A)Interpret the meaning of the coefficients b1and b2 in this problem B)What is the significance of b0? C)Predict the mean standby hours for a week in which the weekly staff count was 310 people-days and the remote-engineering hours total was 400 Standby_hours_(Y) Total_Staff_Present(X1) Remote_Hours_(X2) 247 338 414 177 333 600 269 358 656 211 372 631 196 337 528 135 289 419 195 334 382 118 293 399 116 325 343 147 311 338 154 304 353 146 312 289 115 283 388 161 307 402 274 322 151 245 335 228 201 350 271 183 339 440 237 327 475 175 328 347 152 319 449 188 325 336 188 322 267 197 317 235 261 315 164 232 331 270
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 22PFA
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The business problem facing the director of broadcasting operations for a television station was the issue of standby hours 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 were collected for 26 weeks. These data are organized and stored in.
A)Interpret the meaning of the coefficients b1and b2 in this problem
B)What is the significance of b0?
C)Predict the mean standby hours for a week in which the weekly staff count was 310 people-days and the remote-engineering hours total was 400
| Standby_hours_(Y) | Total_Staff_Present(X1) | Remote_Hours_(X2) |
| 247 | 338 | 414 |
| 177 | 333 | 600 |
| 269 | 358 | 656 |
| 211 | 372 | 631 |
| 196 | 337 | 528 |
| 135 | 289 | 419 |
| 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 |
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