When there are only two variables the functional relationship is known as simple regression and if the relation between the two variables is a straight line I is known a simple linear regression. The relationship between the dependent and the independent variable may be expressed as a function and such functional relationship is termed as regression. The variable representing effect is known as dependent variable and is denoted by Y. The variable X is also known as predictor variable or repressor. The variable representing cause is known as independent variable and is denoted by X. Regression is the functional relationship between two variables and of the two variables one may represent cause and the other may represent effect. STAM101 :: Lecture 13 :: Regression – definition – fitting of simple linear regression equation – testing the significance of the regression coefficient
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