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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
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Evaluating linear regression model [duplicate]
I understand that when performing linear regression, one common rule-of-thumb is that for a good 'fit', the residuals should be 1) independently distributed, 2) stationary and 3) not serially correlated … What is the convention, if any, regarding this type of regression analysis i.e. what are the recommended statistical tests to infer if a model fit is appropriate? …