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

### MCQs Correlation Regression Analysis

- 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.