# Question: Data file XR16056 lists the following information for a sample

Data file XR16056 lists the following information for a sample of local homes sold recently: selling price (dollars), lot size (acres), living area (square feet), and whether the home is air conditioned (1 = A / C, 0 = no A / C).

a. Determine the multiple regression equation and interpret the partial regression coefficients.

b. What is the estimated selling price for a house sitting on a 0.9-acre lot, with 1800 square feet of living area and central air conditioning?

c. Determine the 95% prediction interval for the selling price of the house described in part (b).

d. Determine the 95% confidence interval for the mean selling price of all houses like the one described in part (b).

e. Determine the 95% confidence interval for the population partial regression coefficients, β1, β2, and β3.

f. Interpret the significance tests in the computer printout.

g. Analyze the residuals. Does the analysis support the applicability of the multiple regression model to these data?

a. Determine the multiple regression equation and interpret the partial regression coefficients.

b. What is the estimated selling price for a house sitting on a 0.9-acre lot, with 1800 square feet of living area and central air conditioning?

c. Determine the 95% prediction interval for the selling price of the house described in part (b).

d. Determine the 95% confidence interval for the mean selling price of all houses like the one described in part (b).

e. Determine the 95% confidence interval for the population partial regression coefficients, β1, β2, and β3.

f. Interpret the significance tests in the computer printout.

g. Analyze the residuals. Does the analysis support the applicability of the multiple regression model to these data?

## Answer to relevant Questions

In Exercise 16.56, what would be the estimated selling price of a house occupying a 0.01-acre lot, with 100 square feet of living area and no central air conditioning? Considering the nature of this “house,” does this ...Last year’s utility bill (in dollars) for a sample of homes is estimated by the multiple regression equation ŷ = 300 + 7x1 + 13x2, where x1 is the number of occupants and x2 is the number of rooms in the home. a. Identify ...For the 20 top-grossing U.S. films of the 1990s, data have been reported for y = foreign gross ticket sales and x = domestic gross ticket sales, both in millions of dollars. The printout here shows the results for a second ...As x increases, y increases, but at a decreasing rate. If a second-order polynomial model were fitted to the scatterplot of the data, what would be the signs of the partial regression coefficients in the model? A researcher has observed 50 automatic teller machine (ATM) users outside the gift shop of a museum, and the data are in file XR17028. With y = amount withdrawn (dollars), x1 = time required for the transaction (seconds), ...Post your question