In: Statistics and Probability
The value of a sports franchise is directly related to the amount of revenue a franchise can generate. The accompanying data table shows the annual revenue (in millions of dollars) and value (in millions of dollars) for 30 baseball franchises. Complete parts (a) through (c) below.
Revenue | Value |
218 | 517 |
168 | 375 |
266 | 870 |
192 | 469 |
166 | 389 |
184 | 374 |
158 | 343 |
162 | 406 |
441 | 1602 |
160 | 295 |
194 | 436 |
157 | 319 |
177 | 454 |
166 | 322 |
171 | 374 |
190 | 449 |
248 | 723 |
166 | 329 |
186 | 381 |
146 | 314 |
189 | 450 |
249 | 727 |
166 | 350 |
269 | 862 |
229 | 539 |
140 | 294 |
200 | 491 |
162 | 403 |
199 | 483 |
184 | 389 |
a. Construct a 95% confidence interval estimate of the mean value of all baseball franchises that generate $150 million of annual revenue.
b. Construct a 95% prediction interval of the value of an individual baseball franchise that generates $150 million of annual revenue.
c. Explain the difference in the results of (a) and (b).Choose the best explanation below.
A. The prediction interval is wider than the confidence interval because simple linear regression is inadequate for analyzing these data. They should be the same.
B. The prediction interval is wider than the confidence interval because the standard deviation of the value data is larger than the standard deviation of the revenue data.
C. The prediction interval is wider than the confidence interval because there is more variation in predicting an individual value than in estimating a mean value.
D. The prediction interval is wider than the confidence interval because the franchise value data are larger than the franchise revenue data.
c.
Option C. The prediction interval is wider than the confidence interval because there is more variation in predicting an individual value than in estimating a mean value.