Hi, after a regression is necessary to make an analisy of residuals to know if the model were accurate? ù
Noob here, could you explaine me please, why you could do an analisy of residuals and for which purpose does it serve?
I have to indicate how good prediction is, by looking at the actual, predicted, and residual values, compare to the standard error of the estimate.
I understand that the smaller standard error of the estimate is more accurate, and is a better prediction. But when “Residual score...
I have little experience with mixed-effects models and could do with some help
when it comes to checking model assumptions.
I am using the 'lme()' function from the 'nlme' library in R to test the fixed
effects of a repeated measures design. Given a pair of sounds (A and B), each...
I'm working on a default probability model and was modeling the default probability using logistic regression. The pearson residual and deviance residual plots are attached. Can anyone give me some idea about how to interpret these two plots? Do these plots indicate...
Hello, everyone!! :)
My research is in asset pricing, and I am regressing an independent variable (an anomaly to the CAPM) against a dependent variable (in this case, monthly returns for assets) using Fama-MacBeth (1973) implementation (explained below).
- My ultimate goal is to assess...
how to process decent residual analysis in repeated measures? I know that the residuals should have normal distribution (altogether an in every level of repeated factor too), but is there any other way to examine the residuals?
I am considering Levene's test to chcek if the variances...