Below is some of the regression output from a simple regression of the gas mileage (expressed in miles per gallon) (MPG) an automobile gets and the size of the car's engine (expressed in cubic liters) and weight of the car (expressed in tons) Regression Statistics Multiple R 0.982 R Square Adjusted R Square Standard Error Observations 10 ANOVA df SS MS F Significance F Regression 574.7 287.4 96.3 8.08847E-06 Residual 3.0 Total 9 595.6 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 54.32 2.48 21.86 0.000 48.44 60.19 Engine Size -4.01 1.74 0.054 0.09 Weight -15.98 3.57 0.003 -24.41 Based on the regression output, what is the upper bound of the 95% confidence level of the coefficient on Weight? (please express your answer using 2 decimal places)
Below is some of the regression output from a simple regression of the gas mileage (expressed in miles per gallon) (MPG) an automobile gets and the size of the car's engine (expressed in cubic liters) and weight of the car (expressed in tons) Regression Statistics Multiple R 0.982 R Square Adjusted R Square Standard Error Observations 10 ANOVA df SS MS F Significance F Regression 574.7 287.4 96.3 8.08847E-06 Residual 3.0 Total 9 595.6 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 54.32 2.48 21.86 0.000 48.44 60.19 Engine Size -4.01 1.74 0.054 0.09 Weight -15.98 3.57 0.003 -24.41 Based on the regression output, what is the upper bound of the 95% confidence level of the coefficient on Weight? (please express your answer using 2 decimal places)
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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QUESTION 10
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Below is some of the regression output from a simple regression of the gas mileage (expressed in miles per gallon) (MPG) an automobile gets and the size of the car's engine (expressed in cubic liters) and weight of the car (expressed in tons)
Regression StatisticsMultiple R0.982R SquareAdjusted R SquareStandard ErrorObservations10ANOVAdfSSMSFSignificance FRegression574.7287.496.38.08847E-06Residual3.0Total9595.6CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Intercept54.322.4821.860.00048.4460.19Engine Size-4.011.740.0540.09Weight-15.983.570.003-24.41
Based on the regression output, what is the upper bound of the 95% confidence level of the coefficient on Weight? (please express your answer using 2 decimal places)
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