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A brokerage house would like to be able to predict the number of trade executions per day and has decided to use the number of
A brokerage house would like to be able to predict the number of trade executions per day and has decided to use the number of incoming phone calls as a predictor variable. Data were collected over a period of 35 days and are presented in the table below. Assuming a linear relationship, what is the upper bound on a 98% prediction interval for the number of Executions when there are 1500 calls in a day? Round your answer to 3 decimal places.
Day | Calls | Executions |
1 | 2591 | 417 |
2 | 2146 | 321 |
3 | 2185 | 362 |
4 | 2245 | 364 |
5 | 2600 | 442 |
6 | 2510 | 386 |
7 | 2394 | 370 |
8 | 2486 | 376 |
9 | 2483 | 463 |
10 | 2297 | 389 |
11 | 2106 | 302 |
12 | 2035 | 266 |
13 | 1936 | 339 |
14 | 1951 | 369 |
15 | 2292 | 403 |
16 | 2094 | 319 |
17 | 1897 | 306 |
18 | 2237 | 397 |
19 | 2328 | 365 |
20 | 2078 | 330 |
21 | 2134 | 312 |
22 | 2192 | 340 |
23 | 1965 | 339 |
24 | 2147 | 364 |
25 | 2015 | 295 |
26 | 2046 | 292 |
27 | 2073 | 379 |
28 | 2032 | 294 |
29 | 2108 | 329 |
30 | 1923 | 274 |
31 | 2069 | 326 |
32 | 2061 | 306 |
33 | 2010 | 352 |
34 | 1913 | 290 |
35 | 1904 | 283 |
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