Important MCQs Correlation Regression 5

The post is about MCQs correlation and regression. There are 20 multiple-choice questions covering topics related to the basics of correlation and regression analysis, best-fitting trend, least square regression line, interpretation of correlation and regression coefficients, and regression plot. Let us start with the MCQs Correlation Regression Quiz.

Online MCQs on Correlation and Regression Analysis with Answers

1. The independent variable is also called

 Regressor

 Predictand

 Estimated

 Regressand

2. If all the values fall on the same straight line and the line has a positive slope then what will be the value of the Correlation coefficient $r$:

 $r \ge 0$

 $ 0 \le r \le 1 $

 $ r = -1 $

 Zero

 $ r = +1 $

3. In the Least Square Regression line, the quantity $\sum(Y-\hat{Y})$ is always

 Positive

 Zero

 Fractional

 Negative

 None

4. For the Least Square trend $\hat{Y}=\alpha+\beta X$

 $ \sum Y=\sum \hat{Y} $

 $ \sum \hat{Y}=0 $

 None of these

 $ \sum Y >\sum \hat{Y} $

5. In Regression Analysis, the regression line ($Y=\alpha+\beta X$) always intersect at the point

 $ (\alpha, \alpha) $

 $ (0, 0) $

 $ (X, Y) $

 None

 $ (\overline{X}, \overline{Y}) $

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

 Slope

 Coefficient of determination

 Akaike Information Criterion

 Intercept

7. Which one is equal to explained variation divided by total variation?

 Standard Error of Estimate

 Sum of squares due to regression

 Coefficient of Determination

 Coefficient of Correlation

8. If a straight line is fitted to data, then

 $ \sum Y > \sum \hat{Y} $

 $ \sum Y=\sum \hat{Y} $

 None of these

 $ \sum(Y-\hat{Y})^2=0 $

9. The process by which we estimate the value of dependent variable on the basis of one or more independent variables is called

 Regression

 Association

 Correlation

 Slope Coefficients

10. A relationship where the flow of the data points is best represented by a curve is called

 Non-linear relationship

 Negative relationship

 Linear relationship

 Association

11. In the regression equation $Y=a+bX$, the $X$ is called

 Dependent variable

 Independent variable

 Predictand variable

 Estimated variable

12. The correlation coefficient is the _________ of two regression coefficients.

 Harmonic mean

 Median

 Arithmetic mean

 Geometric mean

13. All the data points falling along a straight line is called

 Dot plot

 Linear relationship

 Non-linear relationship

 Scatter diagram

14. The method of least squares directs that select a regression line where the sum of the squares of the deviations of the points from the regression line is

 Negative

 Zero

 Minimum

 Maximum

15. In Regression Analysis $\sum\hat{Y}$ is equal to

 $ \sum{Y} $

 $ a $

 $ bX $

 0

 None

16. In the regression equation $Y=a+bX$, the $Y$ is called

 dependent variable

 Dependent variable

 Independent variable

 Continuous variable

17. The regression line always passes through

 Origin

 Median Point of $X$ and $Y$

 From Regression Ceofficients

 Mean Point of $X$ and $Y$

 Mean of $X$ and Median of $Y$

18. The best-fitting trend is one for which the sum of squares of error is

 Maximum

 Zero

 Minimum (Least)

 None

19. The dependent variable in a regression line is

 Stochastic variable

 Non-random variable

 Random variable

 Qualitative variable

20. In the Least Square Regression Line, $\sum(Y-\hat{Y})^2$ is always

 Non-Negative

 None

 Zero

 Negative

 Fractional

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MCQs Correlation Regression Analysis

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• In Regression Analysis $\sum\hat{Y}$ is equal to
• In the Least Square Regression Line, $\sum(Y-\hat{Y})^2$ is always
• Which one is equal to explained variation divided by total variation?
• The best-fitting trend is one for which the sum of squares of error is
• If a straight line is fitted to data, then
• In Regression Analysis, the regression line ($Y=\alpha+\beta X$) always intersect at the point
• In the Least Square Regression line, the quantity $\sum(Y-\hat{Y})$ is always
• If all the values fall on the same straight line and the line has a positive slope then what will be the value of the Correlation coefficient $r$:
• For the Least Square trend $\hat{Y}=\alpha+\beta X$
• The regression line always passes through
• The process by which we estimate the value of dependent variable on the basis of one or more independent variables is called
• The method of least squares directs that select a regression line where the sum of the squares of the deviations of the points from the regression line is
• A relationship where the flow of the data points is best represented by a curve is called
• All the data points falling along a straight line is called
• The predicted rate of response of the dependent variable to changes in the independent variable is called
• The independent variable is also called
• In the regression equation $Y=a+bX$, the $Y$ is called
• In the regression equation $Y=a+bX$, the $X$ is called
• The dependent variable in a regression line is
• The correlation coefficient is the ———– of two regression coefficients.

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