Hello Dear Community Members,
Please help me with the following question:
1. I have a direct impact model and estimate it using multiple univariate regression analysis (I am aware of assumptions).
2. IVs have terrible distribution, so I normalize them taking a natural log (I intentionally want to retain the outliers).
3. Model also includes interactions (three 2-way, one 3-way) and as a result there is multicollinearity issue, which I address by "centering" the variables involved in interactions (recomputing interactions with centered variables, of course).
Please tell me the correct way of interpreting the unstandardized coefficients. I know I can add -beta- option, but I am not sure if it is correct to use this kind of betas in interpretation (since IVs were normalized and centered).
Thank you in advance,
Anton
Results table attached.
Please help me with the following question:
1. I have a direct impact model and estimate it using multiple univariate regression analysis (I am aware of assumptions).
2. IVs have terrible distribution, so I normalize them taking a natural log (I intentionally want to retain the outliers).
3. Model also includes interactions (three 2-way, one 3-way) and as a result there is multicollinearity issue, which I address by "centering" the variables involved in interactions (recomputing interactions with centered variables, of course).
Please tell me the correct way of interpreting the unstandardized coefficients. I know I can add -beta- option, but I am not sure if it is correct to use this kind of betas in interpretation (since IVs were normalized and centered).
Thank you in advance,
Anton
Results table attached.
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