Question
Run a linear regression model with both predictors that includes an interaction term between hot and holiday. Based on the model what is the expected
Run a linear regression model with both predictors that includes an interaction term between hot and holiday.
Based on the model what is the expected revenue for an 8 hour day that is not hot but is a holiday? Enter your answer rounded to the nearest dollar.
| Income | Hours | Hot | Holiday |
| 196 | 5 | 1 | 0 |
| 282 | 8 | 0 | 0 |
| 318 | 6 | 1 | 0 |
| 232 | 5 | 1 | 0 |
| 276 | 8 | 0 | 0 |
| 312 | 8 | 0 | 1 |
| 193 | 5 | 0 | 1 |
| 110 | 4 | 0 | 0 |
| 321 | 8 | 1 | 0 |
| 283 | 8 | 0 | 0 |
| 325 | 8 | 1 | 0 |
| 247 | 7 | 0 | 1 |
| 398 | 8 | 1 | 1 |
| 448 | 8 | 1 | 1 |
| 214 | 4 | 0 | 0 |
| 235 | 8 | 0 | 0 |
| 238 | 8 | 0 | 0 |
| 148 | 3 | 1 | 0 |
| 313 | 8 | 0 | 1 |
| 449 | 8 | 1 | 1 |
| 332 | 8 | 1 | 1 |
| 247 | 8 | 0 | 0 |
| 363 | 7 | 1 | 0 |
| 393 | 7 | 1 | 1 |
| 254 | 8 | 0 | 0 |
| 228 | 8 | 0 | 0 |
| 355 | 6 | 1 | 1 |
| 248 | 7 | 0 | 1 |
| 291 | 8 | 1 | 0 |
| 255 | 5 | 1 | 0 |
| 239 | 6 | 0 | 0 |
| 181 | 6 | 0 | 0 |
| 222 | 7 | 0 | 0 |
| 170 | 5 | 0 | 1 |
| 374 | 6 | 1 | 1 |
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The Structure Of Groups With A Quasiconvex Hierarchy (AMS-209)
Authors: Daniel T Wise
1st Edition
069121350X, 9780691213507
