why do more extreme values tend to be predicted closer to the mean? why do more extreme values tend to be predicted closer to the mean? what's the difference between residuals and actuals? why is it important to use residual analysis why do more extremes tend to be predicted closer to the mean? what is the relationship between lm and residual regression why would the more extreme value more be predicted close to the mean? why do the more extreme values tend to be predicted closer to the mean? why would the less extreme values be predicted closer to the mean? why do the more extreme values tend to be predicted closer to the mean? why does the average outcome of an experiment tend to be negative in r? why do the most extreme values tend to be predicted closer to the mean explain the relationship between the residuals and the actual values of a sample. how do you find the correlation between residuals and the actual values of a regression model how to compare residuals and mean why are the more extreme values of an outcome more accurate why do the more extreme values tend to be predicted closer to the mean? what is the relationship between residuals and actuals when using linear regression? why would some samples be predicted lower than others? if the logistic regression analysis used the residuals as a predictor? when estimating an outcome, why would the more extreme results be predicted closer to the mean?