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Forecasters who base model selection criteria on the maximization of .pdf

1 de Apr de 2023
 Forecasters who base model selection criteria on the maximization of .pdf
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Forecasters who base model selection criteria on the maximization of .pdf

  1. Forecasters who base model selection criteria on the maximization of R2 should Muitiple Choice be wary that extremely high values of R2 may indicate a definitional relationship rather thon causal as required by the multiple regression models. be aware that the simple R-squared measure is suspect when autocorrelation is present. be aware that R-squared can be made arbitrarliy large by adding additional explanatory variables to the model. instead use the adjusted R-squared measure. All of the options are correct.
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