The article discusses how to estimate values using extra information. It looks at three ways to do this: the difference, ratio, and regression estimators. The regression estimator is a more advanced version of the other two. If the regression line is flat, the estimator might have more variability. The method chosen depends on how the variables are related. These estimators are unbiased in the long run, so we pick the one with the least variability.