To minimize the error, we need to minimize the Linear Regression Cost Function. Lesser the cost function, better the learning, more accurate will be the predictions. Learn With Jay.

So, let me assume that my best fit linear function has the form: Let me generically label the data as ( x i, y i). So, ... If I don't have too many data points, I could do this by hand.