2. The following data was collected which yielded the regression equation: A regression model relating plane travelling. Given X, number of fuel consumed (in gallon) and Y, flying time (1,000 mile) has been developed. Given data Flying Time (y) 27.9 25.2 23.8 23.4 23.4 22.2 22 Fuel Consumed (x) 276.5 251.2 235.1 248.8 249.4 242 239.8 The computer output from a regression analysis of the data follows. Please fill in the blank and answer the following questions (a-d). SUMMARY OUTPUT Regression Statistics Multiple R 0.877 ANOVA R Square df SS MS F Significance F Adjusted R Square Regression 1 18.937 0.010 Standard Error Residual 5.712 Observations Total 6 24.649 Coefficients Standard Error Star P-value Lower 95% Upper Lower 95% 95.0%% Upper 95.0% Intercept -8.859 8.077 -1.097 0.323 11.904 -29.621 Fuel Consumed (x) 0.132 0.032 4.071 0.010 0.215 0.049 a) Write the estimated regression equation b) What is the number of observationsc) Compute the F statistic and test the significance of the d) Predict the flying time when the plane consumed 270 relationship at a .05 level of significance. Gallons of gas