Question

I'm really stuck with this AP Stats question... Any help I could get would be awesome!

Assessing the goodness of fit of a regression line involves considering several things, and no single characteristic of data is sufficient for a good assessment. Consider the characteristics below. How does each contribute to an assessment of fit? That is, for each piece of information, what about it would indicate a "good" best-fit line?

a) The shape of the residual plot

b) The correlation coefficient

c) The demonstration of seriously influential points

d) The coefficient of determination

Answer 1

a. would tell you whether there are regions of x most poorly fitted.

b. compares fit to data variability itself.

c. indicates which values , if in error, would greatly enhance the error in the fit.

d. not familiar with this.

Answer 2

@douglaswinslowcooper Please re-read the question... "For each piece of information, what about it would indicate a "good" best-fit line?" Thanks!