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A simple linear regression has been performed to estimate the relationship between fuel efficiency (in miles per gallon) and engine size (in cubic liters). The

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A simple linear regression has been performed to estimate the relationship between fuel efficiency (in miles per gallon) and engine size (in cubic liters). The regression results are displayed in the following table: SUMMARY OUTPUT Regression Statistics Multiple R 0.8399 R Square 0.7055 Adjusted R Square 0.6564 Standard Error 1.8203 Observations 8 ANOVA of MS F Significance F Regression 47.6184 47.6184 14.3706 0.0091 Residual 19.8816 3.3136 Total 67.5 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 37.4528 3.1535 11.8766 0.0000 29.7365 45.1691 Engine Size -4.6119 1.2166 -3.7909 0.0091 -7.5889 -1.6350 What is the 95% upper confidence limit for the slope coefficient

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