Question

What does a residual value of -4.5 mean in reference to the line of best fit brainly

Answer 1

A residual value is the standard square errors which is calculated from the line of best fit .

• The residual value is the difference between the y-value and the y-value expected.  If the residual value 'r' is negative it means the data point is r units below the best fit line.
• A best fit line is a straight line which best represents the data on a scatter plot. It can go through a few points, none of the points, or all the points.  
• In comparison to the best fit line a residual value of – 4.5 means that the data point is 4.5 units below the best fit line.

Answer 2

The normal square deviations measured from the optimal match line are indeed a residual value. The further explanation is given below.

Step-by-step explanation:

• The residual value represents the difference between the estimated y value as well as the predicted y value. When the residual or remaining value 'r' becomes negative which indicates that the data area behind the best match line becomes "r" units.
• A value of -4.5 indicates that the information or the data point becomes 4.5 units behind the fitted line, relative to the better fit line.
• A perfect line for the match is a direct line that better reflects the information on something like a scatter diagram. It will go across a lot of stages, zero or all the stages.

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