Hi,
In Regression Model , it is possible that a predictor may have positive relation with dependent variable in Bi-variate analysis , however in Model Equation the predictor may have a negative sign. Why this happens and how is this resolved.
This can happen in Trainin & Validation data as well. That is a predictor may have a Positive sign in the Model equation in Training data set and negative sign in Validation Data-set.
To me, this indicates a problem somewhere, either in selection of the model, or partitioning of the data into training and validation sets.
Do you have an example that you can post?
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