Regression Formula. It is given by. 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.
In linear regression the regression line is a perfectly straight line. The regression line is represented by an equation. 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.
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.
Regression formula is used to assess the relationship between dependent and independent variable and find out how it affects the dependent variable on the change of independent variable and represented by equation y is equal to ax plus b where y is the dependent variable a is the slope of regression equation x is the independent variable and b is constant. The equation of linear regression is similar to the slope formula what we have learned before in earlier classes such as linear equations in two variables. Y a bx. 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.
