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What does it mean if the standard error is higher than the coefficient?
There is not necessarily a problem if the standard error is greater than the value of the coefficient. All it means is that when you compute a confidence interval for the coefficient then for most choices of the confidence coefficient the lower limit will be less than zero.
Is high standard error good or bad?
A big or small SD does not indicate whether it is good or bad. Standard error of the mean: This is an indication of the reliability of the mean. A small SE indicates that the sample mean is more of an accurate reflection of the actual population mean. You may expect a large SD when the range of values are wide.
What is a ” high ” standard error ( in logistic regression?
What is a “high” standard error (in logistic regression)? I can’t find in any statistics book what would start to be considered a large standard error of a regression coefficient.
Is it weird to get a very big odds ratio in logistic regression?
Odds radio wouldn’t come very huge value. Kindly check your analysis and find out the 95% Confidence Interval where the odds ratio value lie in between the 95% C.I or not. Out of 180, 37 missing value were also there in your data.
Why is there no variation in logistic regression?
Logistic regression requires variation to discriminate between groups. Model predictions of 0 or 1 are statements that an event NEVER or ALWAYS occurs. In either case, there can be no variation, which leads to degeneracy; essentially, the algorithm is trying to divide by zero.
Why are there so many high standard errors?
As for “high standard errors”, model ML SE is the reliability of parameter estimates based upon the data, not a measure of the reliability of your data per se. The question is if the interpretation of the output makes sense given your hypothesis and understanding of the subject.