what does a residual value of 1.3 mean when referring to the line of best fit of a data set?\na data point…

what does a residual value of 1.3 mean when referring to the line of best fit of a data set?\na data point is 1.3 units above the line of best fit.\na data point is 1.3 units below the line of best fit.\nthe line of best fit has a slope of -1.3\nthe line of best fit has a slope of 1.3.

what does a residual value of 1.3 mean when referring to the line of best fit of a data set?\na data point is 1.3 units above the line of best fit.\na data point is 1.3 units below the line of best fit.\nthe line of best fit has a slope of -1.3\nthe line of best fit has a slope of 1.3.

Answer

Answer:

A. A data point is 1.3 units above the line of best fit.

Brief Explanations:

The residual is the vertical distance between a data - point and the line of best fit. A positive residual means the data - point is above the line of best fit. Since the residual value is 1.3 (positive), the data point is 1.3 units above the line of best fit.