Explaining the concept of estimates in a Linear Regression which minimizes the Sum of Squared Errors (SSE). Further demonstrate use of Excel Solver to create simple regression models.
Intuitively demonstrate the shape of the Convex SSE function and how minimizing the error gives us the regression estimate.