interpreting a residual value\nwhat does a residual value of -4.5 mean in reference to the line of best…
interpreting a residual value\nwhat does a residual value of -4.5 mean in reference to the line of best fit?\nthe data point is 4.5 units above the line of best fit.\nthe data point is 4.5 units below the line of best fit.\nthe line of best fit is not appropriate to the data.\nthe line of best fit has a slope of -4.5.
Answer
Brief Explanations:
The residual is the difference between the observed - data value and the value predicted by the line of best fit. A negative residual means the observed value is less than the predicted value, so the data point is below the line of best fit. The magnitude of the residual gives the number of units.
Answer:
The data point is 4.5 units below the line of best fit.