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. Intercept Car Accidents (In last 3 years) Credit Score Safety Rating Answer Coefficients 680 122.40 Coefficients -74.80 -104.25 Standard Error Does the sign of the coefficient for the variable number of car accidents make sense? 79.71 14.75 8.89 11.46 t Stat 8.531 8.298 P-value 0.0000 0.0000 -8.414 0.0000 -9.097 0.0000 O Yes, because it is expected that as the number of car accidents increases then the cost should also increase. O No, because it is expected that as the number of car accidents increases then the cost should also increase. O Yes, because it is expected that as the number of car accidents increases then the cost should decrease. O No, because it is expected that as the number of car accidents increases then the cost should decrease. Keyp Keyboard Short Tables
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. Intercept Car Accidents (In last 3 years) Credit Score Safety Rating Answer Coefficients 680 122.40 Coefficients -74.80 -104.25 Standard Error Does the sign of the coefficient for the variable number of car accidents make sense? 79.71 14.75 8.89 11.46 t Stat 8.531 8.298 P-value 0.0000 0.0000 -8.414 0.0000 -9.097 0.0000 O Yes, because it is expected that as the number of car accidents increases then the cost should also increase. O No, because it is expected that as the number of car accidents increases then the cost should also increase. O Yes, because it is expected that as the number of car accidents increases then the cost should decrease. O No, because it is expected that as the number of car accidents increases then the cost should decrease. Keyp Keyboard Short Tables
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 | t Stat | P-value |
|-----------------|--------------|---------------|---------|---------|
| Intercept | 680 | 79.71 | 8.531 | 0.0000 |
| Car Accidents (In last 3 years) | 122.40 | 14.75 | 8.298 | 0.0000 |
| Credit Score | -74.80 | 8.89 | -8.414 | 0.0000 |
| Safety Rating | -104.25 | 11.46 | -9.097 | 0.0000 |
Does the sign of the coefficient for the variable number of car accidents make sense?
**Answer:**
- Yes, because it is expected that as the number of car accidents increases then the cost should also increase.
- No, because it is expected that as the number of car accidents increases then the cost should also increase.
- Yes, because it is expected that as the number of car accidents increases then the cost should decrease.
- No, because it is expected that as the number of car accidents increases then the cost should decrease.
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