Here we will regress accident rate (R) with respect to speed s and s2.
Here is the table and the screenshot of excel regression function.
Now here is the regression
summary.
| SUMMARY OUTPUT | ||||||
| Regression Statistics | ||||||
| Multiple R | 0.981256 | |||||
| R Square | 0.962864 | |||||
| Adjusted R Square | 0.938107 | |||||
| Standard Error | 139.1299 | |||||
| Observations | 6 | |||||
| ANOVA | ||||||
| df | SS | MS | F | Significance F | ||
| Regression | 2 | 1505679 | 752839.3 | 38.89207 | 0.007156 | |
| Residual | 3 | 58071.43 | 19357.14 | |||
| Total | 5 | 1563750 | ||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | 8927.857 | 923.1084 | 9.671516 | 0.002347 | 5990.114 | 11865.6 |
| Speed (s) | -524.786 | 59.57575 | -8.80871 | 0.003083 | -714.382 | -335.189 |
| s^2 | 7.928571 | 0.910819 | 8.704878 | 0.003191 | 5.029938 | 10.82721 |
Accident Rate (R) = 8927.86 - 524.79 s + 7.93 s2
(b) R(65) = 8927.86 - 524.79* 65 + 7.93 * 65 * 65 = 8315
Commercial vehicle driving at night on urban streets at 65 miles per hour have traffice accidents at a rate of 8500 per 100,000,000 vehicle miles.
(c) Here the accidents will be minimum when
dR/ds = 0
so here
dR/ds = -524.79 + 2 * 7.93 s = 0
s = 33.09 mph or 33 mph
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