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Statistics | Correlation and Regression

Coefficient of correlation is the measure of
The regression lines will be perpendicular to each other if the coefficient of correlation r is equal to
Correlation coefficient between two variables will determine
If, in a series. there are m items whose ranks are common, then which factor is added for correction for each repeating value in both the series?
Two variables are perfectly positively correlated when the co-variance between them is
Consider the following statements: 1. Two independent variables are always uncorrelated. 2. The coefficient of correlation between two variables X and Y is positive when X decreases then Y decreases. Which of the above statements is / are correct?
Consider the following statements: 1. Two independents variable are always uncorrelated. 2. The coefficient of correlation between two variables X and Y is positive when X decreases then Y decreases Which of the above statements is/are correct?
The range in which the correlation r lies –
Consider the following statements: 1. Both the regression coefficients have the same sign. 2. If one of the regression coefficients is greater than unity, the other must be less than unity. Which of the above statements is/are correct?
Which of the following statements is/are correct in respect of regression coefficients? 1. It measures the degree of linear relationship between two variables 2. It gives the value by which one variable changes for a unit change in the other variable. Select the correct answer using the code given below.
A process by which we estimate the value of dependent variable on the basis of one or more independent variables is called:
The given table shows the ranking of ten students in two subjects mathematics and statistics. Mathematics Statistics 3 6 5 4 8 9 4 8 7 1 10 2 2 3 1 10 6 5 9 7 The coefficient of rank correlation is:
In a two variable (X and Y) regression analysis, the regression coefficients are bxy = 0.6 and byx = 0.8. If y is dependent variable and x is independent variable, what is the percentage of variations in Y explained by X?
If 4x – 5y + 33 = 0 and 20x – 9y = 107 are two lines of regression, then what are the values of x̅ and y̅ respectively?
Consider the following statements: 1) If the correlation coefficient rxy = 0, then the two lines of regression are parallel to each other. 2) If the correlation coefficient rxy = + 1, then the two lines of regression are perpendicular to each other. Which of the above statements is/are correct?
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