In: Statistics and Probability
Use the accompanying paired data consisting of registered boats? (tens of? thousands) and manatee fatalities from boat encounters. Let x represent the number of registered boats and let y represent the corresponding number of manatee deaths. Use the given number of registered boats and the given confidence level to construct a prediction interval estimate of manatee deaths. Use = 87 (for 87?0,000 registered? boats) with a 99?% confidence level.
Find the indicated prediction interval.
__ manatees < y < __ manatees
  | 
|||||||||||||||||
| 
 Boats ?(tens of? thousands)  | 
 Manatees  | 
||||||||||||||||
| 
 65  | 
 51  | 
||||||||||||||||
| 
 70  | 
 38  | 
||||||||||||||||
| 
 66  | 
 36  | 
||||||||||||||||
| 
 72  | 
 51  | 
||||||||||||||||
| 
 69  | 
 41  | 
||||||||||||||||
| 
 70  | 
 58  | 
||||||||||||||||
| 
 75  | 
 55  | 
||||||||||||||||
| 
 82  | 
 65  | 
||||||||||||||||
| 
 85  | 
 83  | 
||||||||||||||||
| 
 87  | 
 80  | 
||||||||||||||||
| 
 92  | 
 82  | 
||||||||||||||||
| 
 95  | 
 96  | 
||||||||||||||||
| 
 91  | 
 73  | 
||||||||||||||||
| 
 97  | 
 69  | 
||||||||||||||||
| 
 98  | 
 80  | 
||||||||||||||||
| 
 100  | 
 90  | 
||||||||||||||||
| 
 97  | 
 72  | 
||||||||||||||||
| 
 99  | 
 92  | 
||||||||||||||||
| 
 95  | 
 97  | 
||||||||||||||||
| 
 88  | 
 84  | 
||||||||||||||||
| 
 89  | 
 89  | 
||||||||||||||||
| 
 85  | 
 81  | 
||||||||||||||||
| 
 90  | 
 71  | 
||||||||||||||||
| 
 88  | 
 70  | 
||||||||||||||||
The statistical software output for this problem is:
Simple linear regression results:
Dependent Variable: Manatees
Independent Variable: Boats
Manatees = -46.112894 + 1.3744301 Boats
Sample size: 24
R (correlation coefficient) = 0.85874173
R-sq = 0.73743737
Estimate of error standard deviation: 9.5288474
Parameter estimates:
| Parameter | Estimate | Std. Err. | Alternative | DF | T-Stat | P-value | 
|---|---|---|---|---|---|---|
| Intercept | -46.112894 | 15.025093 | ? 0 | 22 | -3.0690589 | 0.0056 | 
| Slope | 1.3744301 | 0.17484982 | ? 0 | 22 | 7.8606318 | <0.0001 | 
Analysis of variance table for regression
model:
| Source | DF | SS | MS | F-stat | P-value | 
|---|---|---|---|---|---|
| Model | 1 | 5610.4235 | 5610.4235 | 61.789532 | <0.0001 | 
| Error | 22 | 1997.5765 | 90.798932 | ||
| Total | 23 | 7608 | 
Predicted values:
| X value | Pred. Y | s.e.(Pred. y) | 99% C.I. for mean | 99% P.I. for new | 
|---|---|---|---|---|
| 87 | 73.462521 | 1.9701341 | (67.909193, 79.015848) | (46.034943, 100.8901) | 
Hence,
99% prediction interval will be:
46.035 < y < 100.890