Question
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
- 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
|
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