Best Correlation and Regression MCQs 1

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The post is about Correlation and Regression MCQs. There are 20 multiple-choice questions. The quiz covers topics related to the basics of correlation Analysis and regression analysis, correlation and regression coefficients, graphical representation relationships between variables, simple linear regression models and multiple linear regression models, and assumptions related to correlation and regression models. Let us start with the Correlation and Regression MCQs Quiz.

Online MCQs about Correlation and Regression Analysis with Answers

1. The range of a partial correlation coefficient is:

 
 
 
 

2. The estimate of $\beta$ in the regression equation $Y=\alpha+\beta\,X + e$ by the method of least square is:

 
 
 
 

3. If $\beta_{XY}$ and $\beta_{YX}$ are two regression coefficients, they have

 
 
 
 

4. The lines of regression intersect at the point

 
 
 
 

5. If each of $X$ variable is divided by 5 and $Y$ by 10 then $\beta_{YX}$ by coded value is:

 
 
 
 

6. If $\rho$ is the correlation coefficient, the quantity $\sqrt{1-\rho^2}$ is termed as

 
 
 
 

7. If the two lines of regression are perpendicular to each other, the correlation coefficient $r=$ is:

 
 
 
 

8. When two variables move in the same direction then the correlation between the variables is

 
 
 
 

9. An investigator reports that the arithmetic mean of two regression coefficients of a regression line is 0.7 and the correlation coefficient is 0.75. Are the results

 
 
 
 

10. If $\rho=0$, the lines of regression are:

 
 
 
 

11. The geometric mean of the two regression coefficient $\beta_{YX}$ and $\beta_{XY}$ is equal to:

 
 
 
 

12. If all the actual and estimated values of $Y$ are the same on the regression line, the sum of squares of errors will be

 
 
 
 

13. If the correlation coefficient between the variables $X$ and $Y$ is $\rho$, the correlation coefficient between $X^2$ and $Y^2$ is

 
 
 
 

14. The regression coefficient is independent of

 
 
 
 

15. If $X$ and $Y$ are two independent variates with variance $\sigma_X^2$ and $\sigma_Y^2$, respectively, the coefficient of correlation between $X$ and ($X-Y$) is equal to:

 
 
 
 

16. Homogeneity of three or more population correlation coefficients can be tested by

 
 
 
 

17. If $\beta_{YX}>1$, then $\beta_{XY}$ is:

 
 
 
 

18. The average of two regression coefficients is always greater than or equal to the correction coefficient is called:

 
 
 
 

19. If regression line $\hat{y}=5$ then value of regression coefficient of $y$ on $x$ is

 
 
 
 

20. In multiple linear regression analysis, the square root of Mean Squared Error (MSE) is called the:

 
 
 
 

Online Correlation and Regression MCQs

Online Correlation and Regression MCQs with Answers
  • The estimate of $\beta$ in the regression equation $Y=\alpha+\beta\,X + e$ by the method of least square is:
  • If $\beta_{XY}$ and $\beta_{YX}$ are two regression coefficients, they have
  • The average of two regression coefficients is always greater than or equal to the correction coefficient is called:
  • If $\beta_{YX}>1$, then $\beta_{XY}$ is:
  • If the two lines of regression are perpendicular to each other, the correlation coefficient $r=$ is:
  • The regression coefficient is independent of
  • If each of $X$ variable is divided by 5 and $Y$ by 10 then $\beta_{YX}$ by coded value is:
  • The geometric mean of the two regression coefficient $\beta_{YX}$ and $\beta_{XY}$ is equal to:
  • If $X$ and $Y$ are two independent variates with variance $\sigma_X^2$ and $\sigma_Y^2$, respectively, the coefficient of correlation between $X$ and ($X-Y$) is equal to:
  • In multiple linear regression analysis, the square root of Mean Squared Error (MSE) is called the:
  • The range of a partial correlation coefficient is:
  • Homogeneity of three or more population correlation coefficients can be tested by
  • If $\rho$ is the correlation coefficient, the quantity $\sqrt{1-\rho^2}$ is termed as
  • If the correlation coefficient between the variables $X$ and $Y$ is $\rho$, the correlation coefficient between $X^2$ and $Y^2$ is
  • The lines of regression intersect at the point
  • If $\rho=0$, the lines of regression are:
  • An investigator reports that the arithmetic mean of two regression coefficients of a regression line is 0.7 and the correlation coefficient is 0.75. Are the results
  • If regression line $\hat{y}=5$ then value of regression coefficient of $y$ on $x$ is
  • When two variables move in the same direction then the correlation between the variables is
  • If all the actual and estimated values of $Y$ are the same on the regression line, the sum of squares of errors will be
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