Home » Certification Exams Questions » 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

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