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$begingroup$ In certain literature, I've examine that a regression with a number of explanatory variables, if in several units, needed to be standardized.
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$begingroup$ Instead of counting on a examination for normality of your residuals, consider assessing the normality with rational judgment. Normality assessments usually do not let you know that the details is standard, only that it's not. But provided that the information are a sample you can be quite particular they don't seem to be basically typical without a test.
not be needed in the primary bullet I discussed, so the two never should go hand and hand all the time.
It can be, however, usually proposed to standardize. In such cases not for good reasons directly related to interpretations, but because the penalization will then deal with unique explanatory variables on a far more equal footing. $endgroup$
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3rd, I do not use SPSS so I can't help there, but I might be amazed if it didn't give some types of nonlinear regression. Some opportunities are quantile regression, regression trees and strong regression.
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cbeleitescbeleites 40k44 gold badges8484 silver badges150150 bronze badges $endgroup$ Incorporate a remark