[Using data file Xr17-12 and]

[Must use R Studio and provide plain code with explanation!]

One critical factor that determines the success of a catalog store chain is the availability of products that consumers want to buy. If a store is sold out, future sales to that customer are less likely. Accordingly, delivery trucks operating from a central warehouse regularly resupply stores. In an analysis of a chain's operations, the general manager wanted to determine the factors that are related to how long it takes to unload delivery trucks. A random sample of 50 deliveries to one store was observed. The times (in minutes) to unload the truck, the total number of boxes, and the total weight (in hundreds of pounds) of the boxes were recorded.

a. Determine the multiple regression equation.

b. Determine whether the required conditions are satisfied

c. How well does the model fit the data? Explain.

1) Standard error of estimate

2) F test of the analysis of variance

3) Coefficient of determination

d. Interpret and test the coefficients.

e. Produce a 95% interval of the amount of time needed to unload a truck with 100 boxes weighing 5,000 pounds.

f. Produce a 95% interval of the average amount of time needed to unload trucks with 100 boxes weighing 5,000 pounds

Data are as follows:

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