The following data is a regression model where the U.S. Department of Transportation has tried to relate the rate of fatal traffic accidents (per 1000 licenses) to the percentage of motorists under the age of 21. Data has been collected for 42 major cities in the United States.   SUMMARY OUTPUT                 Regression Statistics       Multiple R 0.83938748       R Square 0.70457134       Adjusted R Square 0.69718562       Standard Error 0.58935028       Observations 42                 ANOVA           df SS MS F Regression 1 33.13441764 33.1344 95.3964 Residual 40 13.89335048 0.34733   Total 41 47.02776812                 Coefficients Standard Error t Stat P-value Intercept -1.5974138 0.371671454 -4.2979 0.00010 Percent Under 21 0.28705317 0.029389769 9.76711 3.79E-9     What percentage of the variability in fatality rates can be attributed to variations in the percentage of motorists under the age of 21?       If a city had 10% of its motorists under the age of 21, how many fatalities should it expect for every 1000 licenses it issues?       Test the notion that the percentage of motorists under 21 does not impact the fatality rate, against the notion that it does impact the rate, using an a = .01.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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The following data is a regression model where the U.S. Department of Transportation has tried to relate the rate of fatal traffic accidents (per 1000 licenses) to the percentage of motorists under the age of 21. Data has been collected for 42 major cities in the United States.

 

SUMMARY OUTPUT

 

 

 

 

 

 

 

 

Regression Statistics

 

 

 

Multiple R

0.83938748

 

 

 

R Square

0.70457134

 

 

 

Adjusted R Square

0.69718562

 

 

 

Standard Error

0.58935028

 

 

 

Observations

42

 

 

 

 

 

 

 

 

ANOVA

 

 

 

 

 

df

SS

MS

F

Regression

1

33.13441764

33.1344

95.3964

Residual

40

13.89335048

0.34733

 

Total

41

47.02776812

 

 

 

 

 

 

 

 

Coefficients

Standard Error

t Stat

P-value

Intercept

-1.5974138

0.371671454

-4.2979

0.00010

Percent

Under 21

0.28705317

0.029389769

9.76711

3.79E-9

 

 

  • What percentage of the variability in fatality rates can be attributed to variations in the percentage of motorists under the age of 21?

 

 

 

  • If a city had 10% of its motorists under the age of 21, how many fatalities should it expect for every 1000 licenses it issues?

 

 

 

  • Test the notion that the percentage of motorists under 21 does not impact the fatality rate, against the notion that it does impact the rate, using an a = .01.

 

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