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?

A. Yes, the points have no pattern.

B. Yes, the points are evenly distributed about the x-axis.

C. No the points are in a linear pattern.

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

The residual plot obtained follows a linear pattern, Hence, it shows that the line of best fit is not appropriate for the data.

The residual plot is a plot with the independent variable on the horizontal (x-axis) and the residual values (difference between the observed and predicted values) in the vertical x-axis.

• If a residual plot has it's points randomly scattered (has no pattern) around the horizontal axis. It depicts that the linear model is a good fit for the data. If otherwise, then the linear model isn't a good fit as it signifies that the data has a non-linear relationship.

Since, the data of the residual plot given above shows a linear pattern, then it shows that the line of best fit is not appropriate for the data.

Learn more on residual plot : link

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step-by-step explanation:

a 270° rotation about point p says on e d g e n u it y (had to space it out because it says it's a misspelling so i couldn't submit it