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If 1 = Cov(x1,x2) / Var(x1) Where X1 and X2

Question 17

Multiple Choice

If If <sub>1</sub> = Cov(x<sub>1</sub>,x<sub>2</sub>) / Var(x<sub>1</sub>) where x<sub>1</sub> and x<sub>2</sub> are two independent variables in a regression equation, which of the following statements is true? A) If x<sub>2</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is negative. B) If x<sub>2</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is positive. C) If x<sub>1</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is negative. D) If x<sub>1</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is positive. 1 = Cov(x1,x2) / Var(x1) where x1 and x2 are two independent variables in a regression equation, which of the following statements is true?


A) If x2 has a positive partial effect on the dependent variable, and If <sub>1</sub> = Cov(x<sub>1</sub>,x<sub>2</sub>) / Var(x<sub>1</sub>) where x<sub>1</sub> and x<sub>2</sub> are two independent variables in a regression equation, which of the following statements is true? A) If x<sub>2</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is negative. B) If x<sub>2</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is positive. C) If x<sub>1</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is negative. D) If x<sub>1</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is positive. 1 > 0, then the inconsistency in the simple regression slope estimator associated with x1 is negative.
B) If x2 has a positive partial effect on the dependent variable, and If <sub>1</sub> = Cov(x<sub>1</sub>,x<sub>2</sub>) / Var(x<sub>1</sub>) where x<sub>1</sub> and x<sub>2</sub> are two independent variables in a regression equation, which of the following statements is true? A) If x<sub>2</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is negative. B) If x<sub>2</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is positive. C) If x<sub>1</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is negative. D) If x<sub>1</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is positive. 1 > 0, then the inconsistency in the simple regression slope estimator associated with x1 is positive.
C) If x1 has a positive partial effect on the dependent variable, and
If <sub>1</sub> = Cov(x<sub>1</sub>,x<sub>2</sub>) / Var(x<sub>1</sub>) where x<sub>1</sub> and x<sub>2</sub> are two independent variables in a regression equation, which of the following statements is true? A) If x<sub>2</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is negative. B) If x<sub>2</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is positive. C) If x<sub>1</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is negative. D) If x<sub>1</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is positive. 1 > 0, then the inconsistency in the simple regression slope estimator associated with x1 is negative.
D) If x1 has a positive partial effect on the dependent variable, and
If <sub>1</sub> = Cov(x<sub>1</sub>,x<sub>2</sub>) / Var(x<sub>1</sub>) where x<sub>1</sub> and x<sub>2</sub> are two independent variables in a regression equation, which of the following statements is true? A) If x<sub>2</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is negative. B) If x<sub>2</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is positive. C) If x<sub>1</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is negative. D) If x<sub>1</sub> has a positive partial effect on the dependent variable, and <sub>1</sub> > 0, then the inconsistency in the simple regression slope estimator associated with x<sub>1</sub> is positive. 1 > 0, then the inconsistency in the simple regression slope estimator associated with x1 is positive.

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