Measurement Errors, Linear Regression, Variance, Correlation.
OLS estimator are depressed or attenuated toward zero causing them to be smaller than the true values. This is known as attenuation bias and it can cause the experimenter to think that a regression variable is less effective than it actually is in explaining the variance of the response variable.