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All of the Following Are True,with the Exception of One

Question 32

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All of the following are true,with the exception of one condition:


A) a high R2 or All of the following are true,with the exception of one condition: A) a high R2 or   does not mean that the regressors are a true cause of the dependent variable. B) a high R2 or   does not mean that there is no omitted variable bias. C) a high R2 or   always means that an added variable is statistically significant. D) a high R2 or   does not necessarily mean that you have the most appropriate set of regressors. does not mean that the regressors are a true cause of the dependent variable.
B) a high R2 or All of the following are true,with the exception of one condition: A) a high R2 or   does not mean that the regressors are a true cause of the dependent variable. B) a high R2 or   does not mean that there is no omitted variable bias. C) a high R2 or   always means that an added variable is statistically significant. D) a high R2 or   does not necessarily mean that you have the most appropriate set of regressors. does not mean that there is no omitted variable bias.
C) a high R2 or All of the following are true,with the exception of one condition: A) a high R2 or   does not mean that the regressors are a true cause of the dependent variable. B) a high R2 or   does not mean that there is no omitted variable bias. C) a high R2 or   always means that an added variable is statistically significant. D) a high R2 or   does not necessarily mean that you have the most appropriate set of regressors. always means that an added variable is statistically significant.
D) a high R2 or All of the following are true,with the exception of one condition: A) a high R2 or   does not mean that the regressors are a true cause of the dependent variable. B) a high R2 or   does not mean that there is no omitted variable bias. C) a high R2 or   always means that an added variable is statistically significant. D) a high R2 or   does not necessarily mean that you have the most appropriate set of regressors. does not necessarily mean that you have the most appropriate set of regressors.

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