1. Assessing the goodness of fit of a regression line involves considering several things, and no (2 points) 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 coefficient2. The Des Moines Register recently reported the ratings of high school sportsmanship as (2 points) compiled by the Iowa High School Athletic Association. For each school, the participants and coaches were rated by referees, where 1 = superior, and 5 = unsatisfactory. A regression analysis of the average scores given to football players and coaches is shown below. FBParticipants Vs. FBCoaches Linear Fit FBParticipants = 0.902 + 0.568 FBCoaches Summary of Fit RSquare 0.452 3- RSquare Adj 0.450 S 0.355 FBParticipants 2 - Analysis of Variance Source DF SS MS F Ratio Model 37.505 37.505 298.2723 Error 362 45.518 0.126 Prob > F C. Total 363 83.022 <.0001 n fbcoaches interpret the value of coefficient determination r-squared adjusted-you won use that>