Question

In an article, Bissell, et. al., study bridge safety (measured in accident rates per 100 million...

In an article, Bissell, et. al., study bridge safety (measured in accident rates per 100 million vehicles) and the difference between the width of the bridge and the width of the roadway approach (road plus shoulder). The raw data points are:

WidthDiff.

-6

-4

-2

0

2

4

6

8

10

12

Accidents

120

103

87

72

58

44

31

20

12

7

The Excel output of a simple linear regression analysis relating accident to width difference is as follows:

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.9913

R Square

0.9827

Adjusted R Square

0.9802

Standard Error

4.7942

Observations

9

ANOVA

df

SS

MS

F

Significance F

Regression

1

9126.6667

9126.6667

397.0856

0.0000

Residual

7

160.8889

22.9841

Total

8

9287.5556

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

72.8889

2.0214

36.0586

0.0000

68.1090

77.6687

68.1090

77.6687

Width

-6.1667

0.3095

-19.9270

0.0000

-6.8984

-5.4349

-6.8984

-5.4349

Identify and interpret the least squares estimate of slope.

The slope is 72.889. For every unit increase in width difference, the mean number of accidents are increased by 72.8889.

The slope is -6.167. For every unit increase in width difference, the mean number of accidents are increased by 6.167.

The slope is 72.889. For every unit increase in width difference, the mean number of accidents are decreased by 72.8889.

The slope is -6.167. For every unit increase in width difference, the mean number of accidents are decreased by 6.167.

Homework Answers

Answer #1

From Given table we have Slope = -6.1667

R squared= 0.9827

r(correlation)= sqrt(0.9827)= -0.9913 (Correlation will be negative because the slope has negative sign).

So r=-0.9913 . Negative correlation.

So the correct interpretation of the least squares estimate of slope is OPTION D

The slope is -6.167. For every unit increase in width difference, the mean number of accidents are decreased by 6.167.

OPTION A and OPTION C can not be correct because the slope value is NOT 72.889. OPTION B can not be TRUE because data are negatively correlated. So correct answer is OPTION D.  

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