Test whether increased speed is linked with the claim cost.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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Question
A study investigated the link between speed of an automobile at the time of a crash, and the cost of the insurance claim. Below is the residual plot and the output from Excel.
SUMMARY OUTPUT
Regression Statistics | |
Multiple R | 0.17652 |
R Square | 0.03116 |
Adjusted R Square | 0.03116 |
Standard Error | 0.42014 |
Observations | 225 |
ANOVA
df | SS | MS | F | Significance F | |
Regression | 1 | 1.266 | 1.266 | 7.1717 | 0.00795 |
Residual | 223 | 39.363 | 0.1765 | ||
Total | 224 | 40.629 |
Coefficients | Standard Error | t-Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 0.843 | 2.2068 | 0.382 | 0.703 | -3.5066 | 5.1926 |
X Variable 1 | 0.003807 | 0.001422 | 2.678 | 0.00795 | 0.001 | 0.0066 |
Are there any assumptions for regression that you feel ought to be examined?
The residuals to do not average zero since the middle is about 50Normality because there are a lot of outliers on the low end Linearity because of the rainbow type curveIndependence because there are more high speed crashes than low speed crashesConstant Variance because some residuals are high while others are low
Test whether increased speed is linked with the claim cost.
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