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Question: A regional retailer would like to determine if the variation in average monthly store sales can, in part, be explained by the size of the store measured in square feet. A random sample of 21 stores was selected and the store size and average monthly sales were computed. The following results are shown
a. Compute the simple linear regression model using the sample data to determine whether variation in average monthly sales can be explained by store size. Interpret the slope and intercept coefficients.
b. Test for the significance of the slope coefficient of the regression model. Use a level of significance of 0.05.
c. Based on the estimated regression model, what percentage of the total variation in average monthly sales can be explained by store size?
a card is drawn at random from a deck consisting of cards numbered 2 through 10. a player wins 1 dollar if the number
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a professor has found that the grades on the statistics final are normally distributed with a mean of 68 and a standard
Use simple exponential smoothing with α = 0.3 to forecast battery sales for February through May. Assume that the forecast for January was for 22 batteries.
the projected cash flows in a project analysis were estimated with effect of inflation of 3.6 percent per period. if
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1) If sample mean plots look essentially parallel, we can intuitively conclude there is an interaction between the two factors.
The mean SAT score in mathematics is 498. The founders of a nationwide SAT preparation course claim that graduates of the course score higher, on average, than the national mean.
A general contractor is considering purchasing lumber from one of two different suppliers. A random sample of 12 "2x4's" of a certain length of each board is measured.
This project will be completed and turned in individually, not as a team. You will submit a write-up of your solutions (hand written is fine).
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