Find the residual values, and use the graphing calculator tool to make a residual plot.

does the residual plot show that the line of best fit is appropriate for the data?

a. yes, the points have no pattern.

b. no, the points are evenly distributed about the x-axis.

c. yes, the points are in a linear pattern.

d. no, the points are in a curved pattern.

Answer-

D. No, the points are in a curved pattern.

Solution-

The difference between the observed or given value of the dependent variable and the predicted value is called the residual. Each data point has one residual.

If the points in a residual plot are randomly dispersed around the horizontal or x-axis, a linear regression model is appropriate for the data. Otherwise, a non-linear model is more appropriate.

Plotting a graph, by taking the residual values on ordinate and values of given x on abscissa, a non-random U pattern is obtained.

So a non-linear model will be a better fit for this data set.

idk

step-by-step explanation:

payback

i would say true? if the unit was informational and it "refreshed your understanding", then true.