• The following data was collected which yielded the regression equation: (see the printout)

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	18.937	______	0.010
Standard Error	________	Residual	_________	5.712	______
Observations	________	Total	6	24.649
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 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	_________

Write the estimated regression equation	What is the number of observations
Predict the flying time when the plane consumed 270 Gallons of gas