Respuesta :
Answer:
B
Step-by-step explanation:
because, the closer the data points are to the x axis on a residual plot with no definite shape means that a linear model is appropriate for this data set
A linear model is appropriate because, the closer the data points are to the x axis on a residual plot with no definite shape. So, option B is correct.
What is residual plot?
A residual is a measure of how far away a point is vertically from the regression line.
It is the error between a predicted value and the observed actual value.
A residual plot is a graph that has data points that are all very close to the x-axis. It shows the residuals on the y axis and the independent variable on the x axis.
The goodness of fit of a linear model is depicted by the pattern of the graph of a residual plot. If each individual residual is independent of each other, they create a random pattern together.
When graphing the residual values you know if a linear model is an appropriate model for your data if the points in the residual plot are scattered.
A linear model is appropriate because, the closer the data points are to the x axis on a residual plot with no definite shape.
So, option B is correct.
Learn more about residual plot here;
brainly.com/question/2876516
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