Linear Regression As you can see from the image above, a line of best fit is drawn on a scatter plot. The line of best fit is essentially the Linear Regression model and the blue data points is the training data. What we need to do in order to implement the linear regression model to the data points/training data is to calculate the line of best fit. Linear Regression Model : output = weight * input + b (where "weight" and "input" are vectors) When looking at how the linear regression model works, you need to have an understanding of what the terms "weight" and "bias" mean. You can think of the "weight" vector and "bias" as terms that optimize the line to be a line of best fit on the training data points (like a gradient the y-intercept in ...