The residual value of 1.3 mean when referring to the line of best fit of a data set is that a data point is 1.3 units above the line of a data set. This is because the given residual value is positive. So, the data point is above the best fit line.
Residual value:
- A residual value is the standard square error which is calculated from the line of best fit.
- If the residual value 'r' is positive it means the data point is r units above the best fit line.
- If the residual value 'r' is negative it means the data point is r units below the best fit line.
Line of best fit:
A line of best fit refers to a line through a plot of data points that best expresses the relationship between those points.
For the given residual value of 1.3 mean, a data point is 1.3 units above the line of best fit when referring to the line of best fit of a data set. This is because the residual value is positive.
So, Option A is correct.
Learn more about the line of best bit fit here:
https://brainly.com/question/10646034
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