Why are errors squared in a regression?
A)to give more weight to smaller errors
B)because summing positive and negative errors will cancel them out
C)multiplying positive and negative errors will always result in negative numbers
D)errors are not actually squared in a regression

Question

Quizplus · Accepted Answer

Squaring errors in regression analysis ensures that positive and negative errors do not cancel each other out, providing a true measure of the model's predictive accuracy.

Why Are Errors Squared in a Regression