Multiple Choice
The error sum of squares in a regression is based on
A) the difference between the actual and expected values of .
B) the degree of change in per unit .
C) on how close the y-intercept is relative to 0.
D) how much the best fit line deviates from linearity.
Correct Answer:
Verified
Correct Answer:
Verified
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