Correlation and Regression 4

This quiz is about MCQs Regression and Correlation analysis.

This Quiz contains MCQs about Correlation and Regression Analysis, Multiple Regression Analysis, Coefficient of Determination (Explained Variation), Unexplained Variation, Model Selection Criteria, Model Assumptions, Interpretation of results, Intercept, Slope, Partial Correlation, Significance tests, OLS Assumptions, Multicollinearity, Heteroscedasticity, Autocorrelation, graphical representation of the relationship between the variables, etc. Let us start MCQs about Correlation and Regression Analysis.


2. Which of the following can never be taken as coefficient of correlation?


3. The slope of the regression line of $Y$ on $X$ is also called


4. When $\beta_{yx}$ is positive, then $\beta_{xy}$ will be


5. If the regression equation is equal to $Y=23.6 – 54.2X$, then $23.6$ is the ______ while $-54.2$ is the ____ of the regression line.


6. The value of the coefficient of correlation lies between


7. The method of least squares finds the best fit line that _______ the error between observed & estimated points on the line


8. If $r=0.6$ and $\beta_{yx}=1.8$ then $\beta_{xy} = ?$


9. If $Y=2+0.6x$ then the value of slope will be


10. In the model $Y= mX+ a\,\,\,$, $Y$ is also known as the:


11. Which of the following relationship holds


12. If the scatter diagram is drawn the scatter points lie on a straight line then it indicates


13. If the equation of the regression line is $y = 5$, then what result will you take out from it?


14. If $Y=2+0.6X$ then the value of $Y$-intercept will be


15. In simple regression the number of unknown constants are


16. In regression equation $y=\alpha + \beta X + e$, both $X$ and $y$ variables are


17. The predicted rate of response of the dependent variable to changes in the independent variable is called


18. If $R^2$ is zero, that is no collinearity/ Multicollinearity, the variance inflation factor (VIF) will be


19. In simple regression equation, the number of variables are


20. The regression equation is the line with slope passing through


Correlation is a statistical measure used to determine the strength and direction of the mutual relationship between two quantitative variables. The value of the correlation lies between $-1$ and $1$. The regression describes how an explanatory variable is numerically related to the dependent variables.

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 graphical representation between the variables or numerical computation using appropriate computational formula.

MCQ Regression Analysis

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.

Muhammad Imdad Ullah

Currently working as Assistant Professor of Statistics in Ghazi University, Dera Ghazi Khan. Completed my Ph.D. in Statistics from the Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan. l like Applied Statistics, Mathematics, and Statistical Computing. Statistical and Mathematical software used is SAS, STATA, GRETL, EVIEWS, R, SPSS, VBA in MS-Excel. Like to use type-setting LaTeX for composing Articles, thesis, etc.

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6 Responses



  2. Rose says:

    Please add search bar in your site so users can easily find questions thanks

  3. sehrish malik says:

    very helpfull.thanks

  4. Muhammad iqbal says:

    Sir I am going to appeared assistant census commissioner test in fpsc please share me more statistics mcqs

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