Multiple Linear Regression results


New Member
Hi guys,

I've run a hierarchal multiple linear regression with two predictors and one outcome variable, however I don't understand my results. I've found predictor A to be a significant predictor for my outcome variable alone. However, when both my predictors are in the model, predictor A is not a significant predictor, only predictor B is. How can this be if predictor A was significant in the first model?

Thanks in advance!


Ambassador to the humans
I'm trying to predict the temperature in Fahrenheit. I find that the total number of ice cream sales is a significant predictor of temperature when it's alone in the model. When I include "temperature in Celsius" as a predictor in the model then ice cream sales isn't significant anymore - it apparently doesn't add enough information after accounting for "temperature in Celsius". How can this be if ice cream sales was significant in the first model?