Question

What does a residual value of –4.5 mean in reference to the line of best fit? The data point is 4.5 units above the line of best fit. The data point is 4.5 units below the line of best fit. The line of best fit is not appropriate to the data. The line of best fit has a slope of –4.5.

Answer 1

Answer: The data point is 4.5 units below the line of best fit

Step-by-step explanation:

Given residual value : -4.5

We know that a residual is the difference between the actual y-value and the expected y-value .

If the residual value 'r' is negative it implies that the data point is r units below the line of best fit.

Therefore, a residual value of –4.5 means in reference to the line of best fit that the  data point is 4.5 units below the line of best fit.

Answer 2

Answer;

The data point is 4.5 units below the line of best fit

Explanation;

-A residual value of –4.5 mean in reference to the line of best fit means that the data point is 4.5 units below the line of best fit.

-A line of best fit is a straight line that best represents the data on a scatter plot. It may pass through some of the points, none of the points, or all of the points.