Dear Brian
You have not given us much to go on here but the problem is often
related to the scale of the variables. So if the coefficient is per year
tryin to re-express time in months or weeks or days.
Michael
On 08/03/2026 11:50, Brian Smith wrote:
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.
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Michael Dewey
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