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

The residual value of -4.5 is used to mean that The data point is 4.5 units below the line of best fit.

What is the line of best fit?

This is the line in a scatter point that is known to best show the relationship that exists between the points.

The line of best fit when drawn is the line that has most of the points fitted into it.

Read more on the line of best fit here:

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