The residual value of -0.8 means that the given point is 0. 8 units below the line of best fit. A residual value is a difference between an actual data point and the predicted value.
[tex]\rm Residual \ \rm value = (\rm actual\ \rm value) - (\rm predicted\ \rm value)[/tex]
When the residual is negative, means actual value is less than predicted value then the residual have negative values.
When the residual is negative, the data point is below the graph or best fit line.
Since in question the residual value is -0.8, it means the given point is 0.8 units below the line of best fit.
Hence the correct option is (B).
For more details on Residual value follow the link:
https://brainly.com/question/8433351
