Sum Square of Error is equal to:

OPTIONS

• Sum Squares due to Pure Error + Sum Squares due to Lack of Fit
• Sum Squares due to Pure Error – Sum Squares due to Lack of Fit
• Sum Squares due to Lack of Fit-Sum Squares due to Pure Error
• None of the above

ANSWER

Sum Squares due to Pure Error + Sum Squares due to Lack of Fit

EXPLANATION

The Sum of Squares for Error (SSE) is often calculated when you find the least squares line equation for a set of data. It is used as a basis for other statistics that assess how well the equation fits the data