The linear regression equation for a data set is ˆy = − 4.1 + 1.6x. The actual value at x = 4 is 5.6. What is the residual value at x=4?
residual:
The difference between the observed data value and the predicted value (the value on the straight line) is the error or residual.
"residual = observed \u2013 predicted"
"=5.6-2.3=3.3"
The residual value at "x=4" is "3.3."
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