‘b’, the slope of the line of regression of Y on X is also called the coefficient of regression of Y on X. it represents the increment in the value of dependent variable Y corresponding to a unit change in the value of independent variable X. More precisely, we write

bYX = Regression coefficient of Y on X = μ11/σX2 = r*( σY/ σX)

similarly, the coefficient of regression of X on Y indicates the change in the value of variable X corresponding to a unit change in the value of variable Y and is given by

bXY = Regression coefficient of X on Y = μ11/σY2 = r*( σX/ σY)

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- Bivariate Normal Distribution
- Multiple And Partial Correlation
- Plane Of regression
- Properties If residuals
- Coefficient Of Multiple Correlation
- Properties of Multiple Correlation coefficient
- Coefficient Of Partial Correlation
- Multiple correlation In terms Of Total And Partial Correlation
- Coefficient In Terms Of Regression
- Expression For Partial Correlation

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