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    Introduction to Probability and Statistics Study Set 1
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    Exam 12: Linear Regression and Correlation
  5. Question
    The Value of the Sum of Squares for Error (SSE)
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The Value of the Sum of Squares for Error (SSE)

Question 83

Question 83

True/False

The value of the sum of squares for error (SSE) can never be larger than the total sum of squares (Total SS).

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