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Question
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.
In a good - fitting line of best fit, the residual plot should have points randomly scattered with no clear pattern, and there should be about the same number of points above and below the x - axis. If points lie on a line or curve in the residual plot, it indicates a non - random pattern and a poor fit. The number of points in the residual plot is not necessarily equal to those in the scatterplot, and the y - coordinates of points in the residual plot are the residuals (difference between observed and predicted values), not the same as in the scatterplot.
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There are about the same number of points above the x - axis as below it.
The points are randomly scattered with no clear pattern.