May 17, 2023 · I am familiar with computing the autocorrelation function of a time series as a function of time lag, but I am not sure what it means for a time series to itself be autocorrelated.

Sep 21, 2025 · Should I instead collapse replicates to yearly means and model autocorrelation across years? Or can I keep replicates modeled this way? Do hierarchical models with penalization give the …

You don't need to test for autocorrelation. It is there. The plot shows that. You could look at the autocorrelation function of these residuals (function acf()), but this will simply confirm what can be …

Nov 11, 2020 · Additionally, if I made a model and I wanna validate the conditions necessary for it to be a good model, should I test both conditions (multicollinearity and autocorrelation)? or only one of those.

Apr 10, 2013 · I was wondering what does it mean when time series residuals have autocorrelation? How should I deal with it?

Nov 21, 2013 · Can somebody explain autocorrelation function in a time series data? Applying acf to the data, what would be the application?

Nov 11, 2015 · very easy to follow and helpful for a first timer like me to test for autocorrelation. I have found autocorrelation occuring in some of my linear regression models, but I haven't got such a …

So why is autocorrelation a bad (or good) thing? 2.) The solution I've heard for dealing with autocorrelation is to diff the time series. Without trying to read the author's mind, why would one not …

Apr 19, 2023 · Interestingly with this small dataset, exp(pos + 0 |group) seems to work whether I define group as a dummy variable or as my site IDs, but with different results. In both cases, the …

May 28, 2014 · 1 I have a simple linear regression with age as independent variable and a cognitive scale as dependent variable. Each subject is present only once. As it is not time-series data and …