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? yes, the points have no pattern. yes, the points are evenly distributed about the x - axis. no, the points are in a linear pattern. 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? yes, the points have no pattern. yes, the points are evenly distributed about the x - axis. no, the points are in a linear pattern. no, the points are in a curved pattern.

Answer

Explanation:

Step1: Recall residual - plot concept

A good residual plot for a linear regression has no pattern among the points. If there is a linear or curved pattern in the residual plot, it indicates that the linear model (line of best - fit) is not appropriate.

Step2: Analyze given options

The first two options suggest the line of best - fit is appropriate. However, looking at the data points of residuals ((1,0.86),(2, - 0.25),(3,-1.66),(4,-2.34),(5,-4.1)), we can see that as (x) increases, the (y) - values (residuals) seem to follow a linear trend. A linear pattern in the residual plot means the line of best - fit is not appropriate.

Answer:

No, the points are in a linear pattern.