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False, adding variables to the model does not reduce R square instead it increases the value of r sqaure.
When more variables are added, r-squared values typically increase. They can never decrease when adding a variable.
Question 8 0.8 pts True or False: Adding explanatory variables that do not have a significant...
D Question 7 2 pts Only coefficients with a large standard error can be statistically significant. True False D Question 8 1 pts If you estimate a regression model and the R-square is 0.50, how much of the variation in the dependent variable is explained by the independent variables O 10% O 25% 50% О 100%
Question 2 1 pts In an ANOVA test comparing several population means, if the alternative hypothesis is true, the F statistic tends to be close to zero. True False Question 3 1 pts If the two variables in a two-way table are not associated, the conditional distributions in the table are similar to each other. O True False Question 4 1 pts In a multiple regression model, if the P-value associated with the F test is less than the significance...
Question 8 1.5 pts Which of the following is true about interpretation? We only need to interpret our finding from a regression analysis. None of the answers are correct. We don't need to revisit our original question once we have performed an interpretation. Interpretation only needs to be done when we have finished all our analytics tasks. Question 9 1.5 pts When we utilize a visualization on paper/screen, that visualization is limited to exploring: Relationship among an infinite number of...
The multiplication of two variables is used as a predictor if the two variables jointly affect the response. True O False Question 7 1 pts Even if the P-value of the F test in a multiple regression model is nearly zero, it is possible that the R of the model is much less than one. OT False Question 8 1 pts in selecting independent variables for a regression model, neither the forward selection method nor the backward elimination method guarantee...
QUESTION 4 In Multivariate Linear Regression, adding more independent variables might cause the adjusted R squared to fall in some cases True False
QUESTION 1 If a t-test is performed in the context of a multiple regression model and the null hypothesis cannot be rejected, this means that A. the independent variable for which the test has been performed has a significant relationship with the dependent variable. B. the independent variable for which the test has been performed has no significant relationship with the dependent variable. C. all independent variables have a significant relationship with the dependent variable. D. no independent variable has...
1.Which variables are statistically significant at the 5% level? 2.Which variables are statistically significant at the 10% level? 3.Which variables are insignificant? 4.Please present the correlation matrix of the independent variables. 5.Please run the White test for heteroskedasticity, with cross-products AND PRESENT YOUR RESULTS. Please explain whether the test is significant or not. 6.If the White test is significant, please present the heteroskedasticity-consistent White regression results. 7.Can you test this model for autocorrelation? Why of why not? If you do,...
Question 6 1 pts The multiplication of two variables is used as a predictor if the two variables jointly affect the response. O True O False Question 7 1 pts Even if the P-value of the Ftest in a multiple regression model is nearly zero, it is possible that the R2 of the model is much less than one. O True False Question 8 1 pts In selecting independent variables for a regression model, neither the forward selection method nor...
Answer the question True or False. Stepwise regression is used to determine which variables, from a large group of variables, are useful in predicting the value of a dependent variable. True False
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X. If the sample correlation coefficient is 0.5 (r=0.5), and you want to test the null hypothesis that the true population correlation coefficient (rho) is equal to zero, then the test statistic associated with this null hypothesis is: o 5 04 O2 O 3 Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high...