When two explanatory variables are highly correlated, should you remove one of the correlated explanatory variables to reduce the multicollinearity problem.
A. Yes, it will reduce the standard errors on the coefficients and increase the t statistics.
B. No, it will not affect the t statistics on the coefficients.
C. No, it will cause the coefficient on the remaining variable to be biased.
D. Yes, it will improve the fit of the regression model.
The correct option is A.)Yes, it will reduce the standard errors on the coefficients and increase the t statistics.
When two explanatory variables are highly correlated, should you remove one of the correlated explanatory variables to reduce the multicollinearity problem.
A.) Yes, it will reduce the standard errors on the coefficients and increase the t statistics.
When two explanatory variables are highly correlated, should you remove one of the correlated explanatory variables...
Suppose that you estimate a multiple regression model, but that you inadvertently omit an explanatory variable that is correlated with the dependent variable. In this case, the coefficients on the included variables will always be unbiased, but the standard errors and test statistics will be biased. the coefficients on the included variables will always be biased. there is no effect on the coefficients of the included variables since the omitted variable has been omitted. the coefficients on the included variables...
Question 14 3 pts Suppose that you estimate a multiple regression model, but that you inadvertently omit an explanatory variable that is correlated with the dependent variable. In this case, the coefficients on the included variables will always be unbiased, but the standard errors and test statistics will be biased. there is no effect on the coefficients of the included variables since the omitted variable has been omitted. the coefficients on the included variables will always be biased. the coefficients...
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Question 14 3 pts Suppose that you estimate a multiple regression model, but that you inadvertently omit an explanatory variable that is correlated with the dependent variable. In this case, the coefficients on the included variables will always be biased. the coefficients on the included variables will always be unbiased, but the standard errors and test statistics will be biased. there is no effect on the coefficients of the included variables since the omitted variable has been omitted. the coefficients...
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