when outcome variable is not normally distributed, what kind of regression analysis

[Bal23]

I previously used regression analysis and there is a significant difference. Then I realize my dependent variable is not normally distirbuted, it is very skewed.

So I use proc genmod. Anyother analysises, please give advice.

below is the error message

1523 proc genmod data = have;

1524 model abb= mbb /dist=negbin;

1525 run;

NOTE: Non-integer response values have been detected for the

Negative Binomial distribution.

WARNING: No output destinations active.

NOTE: Algorithm converged.

NOTE: The negative binomial dispersion parameter was estimated

by maximum likelihood.

NOTE: PROCEDURE GENMOD used (Total

[PGStats]

"dist=negbin" requests maximum likelihood parameter estimation to explain things that can be counted. Counts are integers. What is abb?

[Bal23]

abb is my dependent variable, mbb is my independent variable

[PGStats]

Advice: Take an Introductory course in Probability. Learn the difference between discrete and continuous distributions. 

[ballardw]

You didn't mention which type of regression you initially performed. Many types do not require the data to be normally distributed but that the errors are normally distributed.

[Bal23]

it is linear regression