Question

residuals?

Answer 1

Is my answers correct?

Answer 2

C and D both describe the same thing. Residual error is the random difference from a modeled (expected) result and an observed result.

Answer 3

So the answer is C and D?

Answer 4

\[y-\hat{y}\]
is another way of describing the difference between actual (observed; y) and predicted (y^)

Answer 5

Should I go with C and D then?

Answer 6

I'm avoiding giving explicit answers.

Answer 7

@Valpey the number of points that fall on a regression line: is that a residual?

Answer 8

No. Nobody has a word for the number of point which fall on a regression line.