A car was driven 24 different times with different octane levels. Using the output from the regression, give a 82% confidence interval for the effect of octane on the car. Use 3 decimal places. Simple linear regression results: Dependent Variable: mileage Independent Variable: octane mileage = -50.657546 + 0.9122631 octane Sample size: 24 R (correlation coefficient) = 0.7165 R-sq = 0.5134 Estimate of error standard deviation: 1.7101924 Parameter estimates: Parameter Estimate Std. Err. DF T-Stat P-Value Intercept -50.657546 -9.9406 22 5.096 <0.0001 Slope 0.9122631 0.189345 22 4.818 <0.0001
A car was driven 24 different times with different octane levels. Using the output from the regression, give a 82% confidence interval for the effect of octane on the car. Use 3 decimal places. Simple linear regression results: Dependent Variable: mileage Independent Variable: octane mileage = -50.657546 + 0.9122631 octane Sample size: 24 R (correlation coefficient) = 0.7165 R-sq = 0.5134 Estimate of error standard deviation: 1.7101924 Parameter estimates: Parameter Estimate Std. Err. DF T-Stat P-Value Intercept -50.657546 -9.9406 22 5.096 <0.0001 Slope 0.9122631 0.189345 22 4.818 <0.0001
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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A car was driven 24 different times with different octane levels. Using the output from the regression, give a 82% confidence interval for the effect of octane on the car. Use 3 decimal places.
Simple linear regression results:
Dependent Variable: mileage
Independent Variable: octane
mileage = -50.657546 + 0.9122631 octane
R (
R-sq = 0.5134
Estimate of error standard deviation: 1.7101924
Parameter estimates:
| Parameter | Estimate | Std. Err. | DF | T-Stat | P-Value |
| Intercept | -50.657546 | -9.9406 | 22 | 5.096 | <0.0001 |
| Slope | 0.9122631 | 0.189345 | 22 | 4.818 | <0.0001 |
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