Answer :
Answer:
so what you are trying to find out is the lot or the mean and the mean is 12
Step-by-step explanation:
The option fourth "The regression line is a good model because the points in the residual plot are close to the x-axis and randomly spread around the x-axis" is correct.
What is the line of best fit?
A mathematical notion called the line of the best fit connects points spread throughout a graph. It's a type of linear regression that uses scatter data to figure out the best way to define the dots' relationship.
[tex]\rm m = \dfrac{n\sum xy-\sum x \sum y}{n\sum x^2 - (\sum x)^2} \\\\\rm c = \dfrac{\sum y -m \sum x}{n}[/tex]
We have a residual plot on which residuals points are showing.
As we know:
Residual = actual y value − predicted y value
As we can see in the residual plot the points in the residual plot are close to the x-axis and randomly distributed around the x-axis, the regression line is a suitable model.
Thus, the option fourth "The regression line is a good model because the points in the residual plot are close to the x-axis and randomly spread around the x-axis" is correct.
Learn more about the line of best fit here:
brainly.com/question/14279419
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