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Data: Age (X) Time (Y) 16 307 17 285 19 267 22 343 22 393 22 287 22 253 28 364 28 251 28 248
Data:
Age (X) | Time (Y) |
16 | 307 |
17 | 285 |
19 | 267 |
22 | 343 |
22 | 393 |
22 | 287 |
22 | 253 |
28 | 364 |
28 | 251 |
28 | 248 |
28 | 433 |
30 | 319 |
33 | 226 |
34 | 321 |
35 | 336 |
35 | 302 |
35 | 476 |
36 | 395 |
39 | 473 |
39 | 342 |
40 | 539 |
42 | 455 |
43 | 326 |
44 | 565 |
48 | 385 |
50 | 590 |
50 | 507 |
51 | 333 |
52 | 426 |
54 | 261 |
58 | 625 |
59 | 252 |
60 | 615 |
1. Use Excel to predict the number of minutes spent by a 22-year old shopper. Enter = followed by the regression formula. Enter the intercept and slope into the formula by clicking on the cells in the regression output with the results.
2. Is it appropriate to use this data to predict the amount of time that a 9-year-old will be on the Internet?
3. If yes, what is the amount of time, if no, why?
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