What does it mean to say that a data point has a residual of -1? A. The point lies directly on the regression line. B. The point lies 1 unit below the regression line. C. The predicted value for that point is -1. D. The point lies 1 unit above the regression line.
I believe it is B.
how do u know @TheBallisticOne
If i remember residuals correctly, i believe for every unit it is one extra unit above the line and for every negative unit it is one extra unit below the line
Your best bet would be to look up "residual" and ensure that you know and understand the vocabulary involved. A residual is the difference between an actual measurement and the value for that same x (input) predicted by the regression line. I challenge you to look this up and determine which comes first: actual value or predicted value. Is the residual "predicted value less actual value" or "actual value less predicted value?"
It's important to remember that "residuals" have to do with regression lines.
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