Hi, My question is not directly related to R, but rather a basic question about statistics. I am hoping to receive valuable insights from the expert statisticians in this group.
In some cases, when fitting a simple OLS regression, I obtain an estimated beta coefficient that is very small—for example, 0.00034—yet it still appears statistically significant based on the p-value. I am trying to understand how to interpret such a result in practical terms. From a magnitude perspective, such a small coefficient would not be expected to meaningfully affect the predicted response value, but statistically it is still considered significant. I would greatly appreciate any insights or explanations regarding this phenomenon. Thanks for your time. ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
