Coeff stderror t stat p value intercept 321 357 090

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Coeff StdError t Stat P-value Intercept - 32.1 35.7 – 0.90 0.3834 Size 12.2 5.9 2.05 0.0394 Cove – 104.3 53.5 – 1.95 0.0715 Size*Cove 17.0 8.5 1.99 0.0661 SizeSq – 0.3 0.2 – 1.28 0.2204 SizeSq*Cove – 0.3 0.3 – 1.13 0.2749 What is the slope for the independent variable Size and is it significant at an alpha of . 05? 12.2, no
12.2, yes 2.05, no 2.05, yes Question 7 0 / 4 points True or False: Collinearity is present when there is a high degree of correlation between any of the independent variables.
Question 8 4 / 4 points The Variance Inflationary Factor (VIF) measures the
Question 9 0 / 4 points TABLE 15-3 In Hawaii, condemnation proceedings are under way to enable private citizens to own the property that their homes are built on. Until recently, only estates were permitted to own land, and homeowners leased the land from the estate. In order to comply with the new law, a large Hawaiian estate wants to use regression analysis to estimate the fair market value of the land. The following model was fit to data collected for n = 20 properties, 10 of which are located near a cove. where Y = Sale price of property in thousands of dollars X1 = Size of property in thousands of square feet X2 = 1 if property located near cove, 0 if not Using the data collected for the 20 properties, the following partial output obtained from Microsoft Excel is shown:
SUMMARY OUTPUT Regression Statistics Multiple R 0.985 R Square 0.970 Standard Error 9.5 Observations 20 ANOVA df SS MS F Signif F Regression 5 28324 5664 62.2 0.0001 Residual 14 1279 91 Total 19 29063 Coeff StdError t Stat P-value Intercept - 32.1 35.7 – 0.90 0.3834 Size 12.2 5.9 2.05 0.0594 Cove – 104.3 53.5 – 1.95 0.0715 Size*Cove 17.0 8.5 1.99 0.0461 SizeSq – 0.3 0.2 – 1.28 0.2204 SizeSq*Cove – 0.3 0.3 – 1.13 0.2749 There is a significant intercation between Size and Cove at an alpha of .05.
Question 10 4 / 4 points Which of the following is not an advantage of exponential smoothing? It enables us to perform one-period ahead forecasting. It enables us to perform more than one-period ahead forecasting. It enables us to smooth out seasonal components. It enables us to smooth out cyclical components.
Question 11 4 / 4 points The fairly regular fluctuations that occur within each year would be contained in the _________________ component.
seasonal

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