In logistic regression, what is the minimum confidence level recommended for dependable results?

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Multiple Choice

In logistic regression, what is the minimum confidence level recommended for dependable results?

Explanation:
In logistic regression, confidence level tells us how sure we want to be about the interval estimates for the model’s parameters and for predicted probabilities. While 95% is standard and many results report that level, 90% is often viewed as the practical minimum that still offers respectable protection against random variation without requiring excessively large samples. Lower levels (like 85%) can give intervals that are too optimistic and narrow, risking overconfidence, while higher levels (such as 99%) produce much wider intervals that can be less informative unless you have a lot of data. So 90% strikes a sensible balance for dependable results in many applied scenarios.

In logistic regression, confidence level tells us how sure we want to be about the interval estimates for the model’s parameters and for predicted probabilities. While 95% is standard and many results report that level, 90% is often viewed as the practical minimum that still offers respectable protection against random variation without requiring excessively large samples. Lower levels (like 85%) can give intervals that are too optimistic and narrow, risking overconfidence, while higher levels (such as 99%) produce much wider intervals that can be less informative unless you have a lot of data. So 90% strikes a sensible balance for dependable results in many applied scenarios.

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