which statements describe a residual plot for a line of best fit that is a good model for a scatterplot…

which statements describe a residual plot for a line of best fit that is a good model for a scatterplot? check all that apply. there are about the same number of points above the x - axis as below it. the points are randomly scattered with no clear pattern. the points lie on a line. the points lie on a curve. the number of points is equal to those in the scatterplot. the y - coordinates of the points are the same as the points in the scatterplot.

which statements describe a residual plot for a line of best fit that is a good model for a scatterplot? check all that apply. there are about the same number of points above the x - axis as below it. the points are randomly scattered with no clear pattern. the points lie on a line. the points lie on a curve. the number of points is equal to those in the scatterplot. the y - coordinates of the points are the same as the points in the scatterplot.

Answer

Brief Explanations:

In a good - fitting line of best fit, residuals (the differences between the observed and predicted values) should be randomly distributed. Having about the same number of points above and below the x - axis and random scattering with no clear pattern are signs of a good model. Points lying on a line or curve in a residual plot indicate a poor - fitting model. The number of points in the residual plot is the same as in the scatterplot, but this doesn't indicate a good fit. The y - coordinates of points in the residual plot are residuals, not the same as in the scatterplot.

Answer:

There are about the same number of points above the x - axis as below it. The points are randomly scattered with no clear pattern.