Finding the 'Line of Best Fit'
The linear regression model is based on the sum of the squares of the vertical residuals minimised
How does the gradient (m) and y-intercept (b) of your line affect the residuals?
The Least Squares process to find a 'Line of Best Fit' to model your data depends on minimizing the sum of the squares of the vertical residuals.
Adjust the gradient and y-intercept values to try and find the best fit, then compare your answer to the linear regression model.
The six points A-F are also moveable.