Regression Formulas. Y the dependent variable of the regression m slope of the regression x1 first independent variable of the regression the x2 second independent variable of the regression the x3 third independent variable of the regression b constant. One variable is considered to be an explanatory variable and the other is considered to be a dependent variable.
Regression equation y a bx slope b nσxy σx σy nσx 2 σx 2 intercept a σy b σx n where x and y are the variables. Y a bx. For example a modeler might want to relate the weights of individuals to their heights using a linear regression model.
It is given by.
For example a modeler might want to relate the weights of individuals to their heights using a linear regression model. Linear regression shows the linear relationship between two variables. Intercept a y b x. A stands for the intercept.
