I'm not sure about your DV Distribution, but for others, I think the Multivariate regression on GLM could solve your issue.

I think you have mixed up your IVs and DV. I think Sales Volume may be your DV and the others could be the IVs. Please recheck and if it is indeed the case, you may use simple linear regression.

Dear Jevohna England,

The relationship between the IV and DV should be termed as "the effect of a variable (IV) on the other variable (DV)". In this context, your IVs are Temperature, Distribution and Price and the DV is Sales Volume. Accordingly, the relationship between the IVs and DV can be termed as "The Effect of Temperature, Distribution and Price (IVs) on the Sales Volume (DV)" as indicated above by Piyush Sharma.

Hence, you have to initially (first) run the correlation analysis to confirm the significant relationship between the variables. If the correlation between an IV and DV can confirm the effects of IV on DV and between IVs can confirm the existence of a level of multicollinearity. Once you confirmed all these, then it is appropriate to run the Multivariate Regression as indicated above by Marcelo Linardi.

Hope this will help you. If you have a question, feel free to communicate.

Good luck with your progress.

Regards,

S. Senthilnathan.