# MCQs Correlation Regression 5

This Post contains MCQs Correlation 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, Multicollinearity, Heteroscedasticity, Autocorrelation, etc. Let us start MCQs Correlation Regression Analysis.

Online MCQs on Correlation and Regression Analysis with Answers

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

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

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

4. The regression Line always passes through

5. 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 $r$:

6. The independent variable is also called

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

8. 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

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

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

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

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

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

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

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

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

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

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

19. The dependent variable in a regression line is

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

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 coefficient lies between $-1$ and $1$. The regression analysis describes how an explanatory variable is numerically related to the dependent variables.

Both of the tools (correlation coefficient and regression analysis) are used to represent and analyze the linear relationship between the two quantitative variables. The relationship between variables can be observed using a graphical representation (visual) between the variables. One can also compute the strength of the relationship between variables by performing numerical calculations using appropriate computational formulas.

Note that neither regression nor correlation analyses can be interpreted as establishing some cause-and-effect relationships. Both correlation and regression are used to indicate 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.

#### Online MCQs Correlation Regression Analysis with Answers

• 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 the 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 the dependent variable based on one or more independent variables is called
• The method of least squares directs the selection of 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 are 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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### 14 thoughts on “MCQs Correlation Regression 5”

1. The predicted rate of response of the dependent variable to changes in the independent variable is called:
(a) Slope

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2. A relationship where the flow of the data points is best represented by a curve is called:
(a) Linear relationship

• Thank you dear! for mentioning the error in quiz. Explanation is added to the questions.
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3. Q5. wrong
because
In the regression equation X is independent variable
it also called regressor, explanatory variable.

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

Association
Regression
Slope Coefficients
Correlation

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5. The first two test is very top.can’t attempt any B.com or m.com level student.possible for only MSC statistic.after 3rd test the mcqs is enjoyable.and tks provided sevices.

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6. SO NICE
THANKS