What are some limitations in using a line of best fit drawn on a scatter plot to make predictions? a. There may be too much information given on the scatter plot. b. The line may represent a negative or positive correlation. c. It is possible to draw different lines to approximate the same data. The line of best fit is only an estimate. d. The axes of the scatter plot may be labeled incorrectly.

Respuesta :

definitely c because, well, its true 

The limitation in using a line of best fit drawn on a scatter plot to make predictions is: It is possible to draw different lines to approximate the same data. The line of best fit is only an estimate.

The correct answer is option (c)

What is scatter plot?

"It is a  a set of points plotted on the coordinate plane that represent the relationship between two variables in a data-set."

What is the line of best fit?

"It is a line through a scatter plot that best expresses the relationship between two variables in a data-set."

Line of best fit is one of the most important outputs of regression analysis.

Line of best fit is the one that passes through the scattered points such that it represents most of these points.

The half of the scattered points should be on either side of the line .

But it is possible to draw different lines to approximate the same data.

The line of best fit is only an estimate.

This is the limitation in using a line of best fit drawn on a scatter plot to make predictions.

Therefore, the correct answer is option (c)

Learn more about the line of best fit here:

https://brainly.com/question/14279419

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