Inertial weight (in tons) and fuel economy (in mi/gal) were measured for a sample of seven diesel trucks. The results are presented in the following table. Weight 8.00 24.50 27.00 14.50 28.50 12.75 21.25 Mileage 7.69 4.97 4.56 6.49 4.34 6.24 4.45 (a) Construct a scatterplot of mileage (y) versus weight (x). Verify that a linear model is appropriate. (b) Compute the least-square line for predicting mileage from weight. (c) If two trucks differ in weight by 5 tons, by how much would you predict their mileags differ? (d) Predict the mileage for trucks with a weight of 15 tons. (e) Find all predicted values and residuals for this regression model. (f) Compute the estimate for the error variance. (g) Construct 95% two-sided confidence intervals for intercept and slope parameters.
7. Inertial weight (in tons) and fuel economy (in mi/gal) were measured for a sample of seven diesel trucks. The results are presented in the following table.
Weight 8.00 24.50 27.00 14.50 28.50 12.75 21.25
Mileage 7.69 4.97 4.56 6.49 4.34 6.24 4.45
(a) Construct a
(b) Compute the least-square line for predicting mileage from weight.
(c) If two trucks differ in weight by 5 tons, by how much would you predict their mileags differ?
(d) Predict the mileage for trucks with a weight of 15 tons.
(e) Find all predicted values and residuals for this regression model.
(f) Compute the estimate for the error variance.
(g) Construct 95% two-sided confidence intervals for intercept and slope parameters.
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