Regression Lines. Regression line of x on y. Statisticians call this technique for finding the best fitting line a simple linear regression analysis using the least squares method.
This uncertainty differs from slope which is always interpretable. There are two lines of regression. A is the interception point.
The black diagonal line in figure 2 is the regression line and consists of the predicted score on y for each possible value of x.
U is the residual regression. 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. The vertical lines from the points to the regression line represent the errors of prediction. So our y intercept is going to be 1.
