Correlation and Regression MCQs 1

This quiz is about correlation and regression MCQs. The MCQs Quiz covers the topics of Correlation Analysis, Simple Regression Analysis, Multiple Regression AnalysisCoefficient of Determination (Explained Variation), Unexplained Variation, Model Selection Criteria, Model Assumptions, Interpretation of results, Intercept, Slope, Partial Correlation, Significance tests, Multicollinearity, Heteroscedasticity, Autocorrelation, etc. Let us start the Correlation and Regression MCQs Quiz.

Online MCQs about Correlation and Regression Analysis with Answers

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

4. 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:

 
 
 
 

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

 
 
 
 

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

 
 
 
 

7. The lines of regression intersect at the point

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

15. 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

 
 
 
 

16. The regression coefficient is independent of

 
 
 
 

17. The range of a partial correlation coefficient is:

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 


Correlation is a statistical measure used to determine the strength and direction of the mutual relationship between two quantitative variables. The regression describes how an explanatory variable is numerically related to the dependent variables.

Online Correlation and Regression MCQs Quiz

  • 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

Both of the tools are used to represent the linear relationship between the two quantitative variables. The relationship between variables can be observed either using a graphical representation between the variables or numerical computation using an appropriate computational formula.

Correlation and Regression MCQs

Note that neither regression nor correlation analyses can be interpreted as establishing some cause-and-effect relationships. Both of these can be used to indicate only how or to what extent the variables under study are associated (or mutually related) with each other. The correlation coefficient measures only the degree (strength) and direction of linear association between the two variables. Any conclusions about a cause-and-effect relationship must be based on the judgment of the analyst.

Correlation and Regression MCQS

Online MCQS Quiz Website gmstat.com

32 thoughts on “Correlation and Regression MCQs 1”

  1. Q#2 wrong
    because
    Regression coefficient is independent of
    Both “Unit of measurement” and “Scale and origin”

    Reply
  2. sir these mcq’s are very useful but i dont find answers here , kindly tell me how to get añswer i m not getting even aftr submit

    Reply
    • When you press the show answer or next button correct answer is ticked with green color tick point. When you submit the complete quiz, you will get the results of all MCQs for the quiz after few seconds. If complete results are not shown it may be possible that you have some ade blocker plugin installed on your browser. Do allow the browser for the itfeature.com site.

      Reply
    • The variable X and Y both are random in real sense. However, regarding the theory of least square, Variable X is assumed to be fixed (known). In other words, they (X’s) are assumed to have no random error. Also note that, in observational studies X is random while in experimental studies X is fixed.

      Reply
    • Can the correlation coefficient distinguish between the dependent and independent random variables with regards to question one?

      Reply
      • Correlation is a measure of strength between two quantitative variables. It measures the interdependence between these variables, so one cannot distinguish between the dependent and independent using only correlation coefficient.

        Reply

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