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

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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
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

 

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