The Error Sum of Squares in a Regression Is Based

question 47

Multiple Choice

The error sum of squares in a regression is based on

• A) the difference between the observed and expected values of yi.
• B) the degree of change in y per unit x.
• C) on how close the y-intercept is relative to 0.
• D) how much the best-fit line deviates from linearity.

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