Could anyone please explain WHY error term is an RANDOM VARIABLE corresponding to each OBSERVATION?
Once you have a line of best fit, the observations will not all lie exactly on that line, hence you will get residuals. The residuals are just “noise”; under ordinary least squares, residuals will occur randomly with an average value of 0 and have some constant variance.
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