# Question

The management science staff of a grocery products manufacturer is developing a linear programming model for the production and distribution of its cereal products. The model requires transportation costs for a very large number of origins and destinations. It is impractical to do the detailed tariff analysis for every possible combination, so a sample of 48 routes is selected. For each route, the mileage x and shipping rate y (in dollars per 100 pounds) are found. The data are as follows:

a. Obtain the regression equation and the residual standard deviation.

b. Calculate a 90% confidence interval for the true slope.

a. Obtain the regression equation and the residual standard deviation.

b. Calculate a 90% confidence interval for the true slope.

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