# Important MCQs on Correlation and Regression 3

The post is about MCQs on Correlation and Regression Analysis with Answers. There are 20 multiple-choice questions covering the topics related to correlation and regression analysis, interpretation of correlation and regression coefficients, relationship between variables, and correlation and regression coefficients. Let us start with MCQs on Correlation and Regression.

MCQs about Correlation and Regression Analysis

1. The Coefficient of Correlation between $U=X$ and $V=-X$ is

2. When the regression line passes through the origin then

3. If $b_{yx} <0$ and $b_{xy} =<0$, then $r$ is

4. In the regression line $Y=a+bX$

5. In the regression line $Y=a+bX$ the following is always true

6. When $b_{xy}$ is positive, then $b_{yx}$ will be

7. The Coefficient of Correlation between $X$ and $X$ is

8. Two regression lines are parallel to each other if their slope is

9. The regression coefficient is independent of

10. If $r_{xy} = -0.84$ then $r_{yx}=?$

11. A perfect negative correlation is signified by

12. If $\hat{Y}=a$ then $r_{xy}$?

13. It is possible that two regression coefficients have

14. If $r=0.6, b_{yx}=1.2$ then $b_{xy}=?$

15. If two variables oppose each other then the correlation will be

16. The coefficient of Correlation values lies between

17. The Coefficient of Correlation $r$ is independent of

18. In Correlation, both variables are always

19. When two regression coefficients bear the same algebraic signs, then the correlation coefficient will be

20. If $X$ and $Y$ are independent of each other, the Coefficient of Correlation is

### MCQs on Correlation and Regression with Answers

• The coefficient of Correlation values lies between
• If $r_{xy} = -0.84$ then $r_{yx}=?$
• In Correlation, both variables are always
• If two variables oppose each other then the correlation will be
• A perfect negative correlation is signified by
• The Coefficient of Correlation between $U=X$ and $V=-X$ is
• The Coefficient of Correlation between $X$ and $X$ is
• The Coefficient of Correlation $r$ is independent of
• If $X$ and $Y$ are independent of each other, the Coefficient of Correlation is
• If $b_{yx} <0$ and $b_{xy} =<0$, then $r$ is
• If $r=0.6, b_{yx}=1.2$ then $b_{xy}=?$
• When the regression line passes through the origin then
• Two regression lines are parallel to each other if their slope is
• When $b_{xy}$ is positive, then $b_{yx}$ will be
• If $\hat{Y}=a$ then $r_{xy}$?
• When two regression coefficients bear the same algebraic signs, then the correlation coefficient will be
• It is possible that two regression coefficients have
• The regression coefficient is independent of
• In the regression line $Y=a+bX$
• In the regression line $Y=a+bX$ the following is always true

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