use the graphing calculator tool to plot the residual points. (1, 0.86), (2, -0.25), (3, -1.66), (4, -2.34)…

use the graphing calculator tool to plot the residual points. (1, 0.86), (2, -0.25), (3, -1.66), (4, -2.34), (5, -4.1) does the residual plot show that the line of best fit is appropriate for the data? o yes, the points have no pattern. o yes, the points are evenly distributed about the x - axis. o no, the points are in a linear pattern. o no, the points are in a curved pattern.

use the graphing calculator tool to plot the residual points. (1, 0.86), (2, -0.25), (3, -1.66), (4, -2.34), (5, -4.1) does the residual plot show that the line of best fit is appropriate for the data? o yes, the points have no pattern. o yes, the points are evenly distributed about the x - axis. o no, the points are in a linear pattern. o no, the points are in a curved pattern.

Answer

Explanation:

Step1: Recall residual - plot concept

A good residual plot for a well - fitting line of best fit has points randomly scattered with no pattern.

Step2: Analyze given points

The points ((1,0.86),(2, - 0.25),(3,-1.66),(4,-2.34),(5,-4.1)) show a linear pattern as the (y) - values seem to change in a somewhat linear fashion as (x) increases.

Answer:

No, the points are in a linear pattern.