Linear Regression, Regression Analysis, Matrix Algebra.
give a sum of squared errors that will be larger than what is achieved from the line of best fit. Table 4 and Figure 3 illustrate this by using a different value for b̂0 and b̂1. . In figure 3, the regression line in blue is the line of best fit. The line in red is the line with b̂0 = 400 and b̂1 =