Question

The predicted calories in food items based on grams of fat are represented by the residual plot.

What does the pattern in the residual plot indicate about the type of model?
A. The pattern is random, indicating a good fit for a nonlinear model.
B. The pattern shows the points are far from the zero line, indicating a good fit for a linear model.
C. The pattern is random, indicating a good fit for a linear model.
D. The pattern shows the points are far from the zero line, indicating a good fit for a nonlinear model.
E. The pattern is random, indicating that the model is unable to be determined.

Answer 1

C. The pattern is random, indicating a good fit for a linear model.

Explanation:

Took the test. It's 100% correct.

Answer 2

The correct option is;

C. The pattern is random, indicating a good fit for a linear model

Explanation:

A graph that has the residuals (the difference between the value observed and the value expected (regression analysis) on the vertical axis and the variable that is not affected by the other variables (independent variable) on the x or horizontal axis is known as a residual plot

A linear regression model is suited in a situation where the points are dispersed randomly on both sides of the horizontal axis

Therefore, given that the first point is below the horizontal axis and the next point is above the horizontal axis, while the third and the fourth points are below the horizontal axis, the fifth, sixth, and seventh points are above the horizontal axis and the eighth point is below the horizontal axis, the points are random around the horizontal axis, indicating the suitability of a linear regression model.