Explain Linear Regression Equation.
Answers
Linear regression is a way to model the relationship between two variables. ... The equation has the form Y=a+bX, where Y is the dependent variable (that's the variable that goes on the Y axis), X is the independent variable (i.e. it is plotted on the X axis), b is the slope of the line and a is the y-intercept.
The Linear Regression Equation
Linear regression is a way to model the relationship between two variables. You might also recognize the equation as the slope formula. The equation has the form Y=a+bX, where Y is the dependent variable (that’s the variable that goes on the Y axis), X is the independent variable (i.e. it is plotted on the X axis), b is the slope of the line and a is the y-intercept.
figure image in below
a=1st image
b=2nd image
the linear regression equation
The first step in finding a linear regression equation is to determine if there is a relationship between the two variables. This is often a judgment call for the researcher. You’ll also need a list of your data in x-y format (i.e. two columns of data — independent and dependent variables)
