Correlation and Regression 1

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

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

3. The lines of regression intersect at the point

4. When two variables more in the same direction then the correlation between the variable is

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

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

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

8. Regression coefficient is independent of

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

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

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

12. 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:

13. If all the actual and estimated values of $Y$ are the same on the regression line, the sum of squares of errors will be

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

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

16. 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

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

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

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

20. The range of a partial correlation coefficient is: