Consider the following computer output from a multiple regression analysis relating the cost of car insurance to the variables: number of car accidents, driver’s credit score, and safety rating of the car. Coefficients Coefficients Standard Error tt Stat P-value Intercept 841841 85.9385.93 9.7879.787 0.00000.0000 Car Accidents (In last 3 years) 151.38151.38 15.9815.98 9.4739.473 0.00000.0000 Credit Score −92.51−92.51 10.2310.23 −9.043−9.043 0.00000.0000 Safety Rating −164.66−164.66 15.9815.98 −10.304−10.304 0.00000.0000 Does the sign of the coefficient for the variable credit score make sense?
Consider the following computer output from a multiple regression analysis relating the cost of car insurance to the variables: number of car accidents, driver’s credit score, and safety rating of the car. Coefficients Coefficients Standard Error tt Stat P-value Intercept 841841 85.9385.93 9.7879.787 0.00000.0000 Car Accidents (In last 3 years) 151.38151.38 15.9815.98 9.4739.473 0.00000.0000 Credit Score −92.51−92.51 10.2310.23 −9.043−9.043 0.00000.0000 Safety Rating −164.66−164.66 15.9815.98 −10.304−10.304 0.00000.0000 Does the sign of the coefficient for the variable credit score make sense?
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Consider the following computer output from a multiple
Coefficients
Coefficients | Standard Error | tt Stat | P-value | |
---|---|---|---|---|
Intercept | 841841 | 85.9385.93 | 9.7879.787 | 0.00000.0000 |
Car Accidents (In last 3 years) |
151.38151.38 | 15.9815.98 | 9.4739.473 | 0.00000.0000 |
Credit Score | −92.51−92.51 | 10.2310.23 | −9.043−9.043 | 0.00000.0000 |
Safety Rating | −164.66−164.66 | 15.9815.98 | −10.304−10.304 | 0.00000.0000 |
Does the sign of the coefficient for the variable credit score make sense?
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