Measurement Errors, Linear Regression, Variance, Correlation.
Mean and variance of the composite error (ϵ + ν) (Image by Author) From this, we can see that while the mean of the composite error is still zero, its variance is larger than that of the original model. The larger variance of the error term means that the predictions of this model containing the