In a multiple regression model, the OLS estimator is consistent if:
A) there is no correlation between the dependent variables and the error term.
B) there is a perfect correlation between the dependent variables and the error term.
C) the sample size is less than the number of parameters in the model.
D) there is no correlation between the independent variables and the error term.
Correct Answer:
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Q7: In the multiple regression model
Q8: Which of the following statements is true
Q9: The Cauchy-Schwartz inequality implies that the asymptotic
Q10: The LM statistic follows a:
A)t distribution.
B)f distribution.
C)
Q11: The n-R-squared statistic also refers to the:
A)F
Q13: If Q14: When the error term is not normally Q15: If variance of an independent variable in Q16: If Q17: If Unlock this Answer For Free Now! View this answer and more for free by performing one of the following actions Scan the QR code to install the App and get 2 free unlocks Unlock quizzes for free by uploading documents