The data below were collected from a sample of 15 houses to develop a model for predicting assessed


Question: The data below were collected from a sample of 15 houses to develop a model for predicting assessed value (in $1000) based on the heating area (in thousands of square feet) and whether or not the house has a fire-place.

Value Heating Fireplace
84.4 2 Yes
77.4 1.71 No
75.7 1.45 No
85.9 1.76 Yes
79.1 1.93 No
70.4 1.2 Yes
75.8 1.55 Yes
85.9 1.93 Yes
78.5 1.59 Yes
79.2 1.5 Yes
86.7 1.9 Yes
79.3 1.39 Yes
74.5 1.54 No
83.8 1.89 Yes
76.8 1.59 No

a. Fit a first-order model for y = assessed value, using heating area and fire-place availability as independent variables. Along with your other residual plots and scatter plots, plot a partial residual plot for Heating. You will have to create the partial residual plot (maybe in Excel), since Minitab does not do this.

b. Next, fit a model with an interaction term. Comment on the results. Use a test for nested models to verify your conclusion.

c. Finally, fit a model with the two first-order terms as well as Heating^2 (but no interaction term). Perform a test for nested models to determine whether this model is superior to the first-order model.

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