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s (per 1 streets. speed s, in mdes per hour, for Explain what your answer means in practical terms Commercial vehicles drivin
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Answer #1

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.

Book1 Microsoft Excel HomeInsert Page LayoutFormulas Data Review View Clear Data Analysis Properties Edit Links From From FroNow 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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