Regression Lines. X is the independent ones. And the slope of our line is 3 7.
So it equals 1. This gives the most probable values of x from the given values of y. Statisticians call this technique for finding the best fitting line a simple linear regression analysis using the least squares method.
The vertical lines from the points to the regression line represent the errors of prediction.
This uncertainty differs from slope which is always interpretable. The correlation coefficient between the two variables i e. The best fitting line is called a regression line. The mathematical function of the regression line is expressed in terms of a number of parameters which are the coefficients of the equation and the values of the independent variable.
