Question 10 4 4 points true or false when an

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Question 10 4 / 4 points True or False: When an additional explanatory or independent variable is introduced into a multiple regression model, the coefficient of multiple determination or R-square will always become significant. True False
Question 11 4 / 4 points True or False: The Regression Sum of Squares (SSR) is always greater than the Total Sum of Squares (SST).
Question 12 4 / 4 points The Y-intercept ( b 0 ) represents the predicted value of Y when X = 0. change in estimated average Y per unit change in X. predicted value of Y. variation around the sample regression line. Question 13 4 / 4 points TABLE 14-3 An economist is interested to see how consumption for an economy (in $ billions) is influenced by gross domestic product ($ billions) and aggregate price (consumer price index). The Microsoft Excel output of this regression is partially reproduced below. SUMMARY OUTPUT
Regression Statistics Multiple R 0.991 R Square 0.982 Adjusted R Square 0.976 Standard Error 0.299 Observations 10 ANOVA df SS MS F Signif F Regsion 2 33.4163 16.7082 186.325 0.0001 Resdual 7 0.6277 0.0897 Total 9 34.0440 Coef StdError t Stat P-value Intcept – 0.0861 0.5674 – 0.152 0.8837 GDP 0.7654 0.0574 13.340 0.0001 Price – 0.0006 0.0028 – 0.219 0.8330 Referring to Table 14-3, when the economist used a simple linear regression model with consumption as the dependent variable and GDP as the independent variable, he obtained an r 2 value of 0.971. What additional percentage of the total variation of consumption has been explained by including aggregate prices in the multiple regression? In other words, the economist was explaining 97.1%, how much has that percentage or R-square increased after adding "price" as a second independent variable?
Question 14 4 / 4 points The error represents the discrepancy between the observed dependent variable and its _______ value.
independent hypothesized Question 15 4 / 4 points True or False: A multiple regression is called “multiple” because it has several independent variables. True False
Question 16 0 / 4 points TABLE 14-3 An economist is interested to see how consumption for an economy (in $ billions) is influenced by gross domestic product ($ billions) and aggregate price (consumer price index). The Microsoft Excel output of this regression is partially reproduced below. SUMMARY OUTPUT Regression Statistics Multiple R 0.991 R Square 0.982 Adjusted R Square 0.976 Standard Error 0.299 Observations 10 ANOVA df SS MS F Signif F Regsion 2 33.4163 16.7082 186.325 0.001 Resdual 7 0.6277 0.0897 Total 9 34.0440 Coef StdError t Stat P-value Intcept – 0.0861 0.5674 – 0.152 0.8837 GDP 0.7654 0.0574 13.340 0.0001 Price – 0.0006 0.0028 – 0.219 0.8330 Referring to Table 14-3, the p -value for the regression model as a whole is
.01 .001 .0001

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