![]() ![]() They themselves are not statistics, at all. A nested model is simply one that contains a subset of the predictor variables in the overall regression model. Population parameters are only ever estimated by sample statistics. (e) A plot of one quantitative variable against another to demonstrate or test for correla( tion between them. A partial F-test is used to determine whether or not there is a statistically significant difference between a regression model and some nested version of the same model. ![]() The total number of measurements $n$ of data acquired from $J$ groups is $$n=\sum_.$ Hopefully you are not confused by this nonstandard notation. To be clear, the values of $n_i$ are the number of measurements in group $i$, not the actual measurements. ![]() While "long-term" and "short-term" are new to me (indeed, they seem to be specific to this site and might as well come with a trademark!) I can tell you that you seem to be calculating the whole-sample variance degrees of freedom (LT) and the anova denominator degrees of freedom (ST), which could also be described as the mean squared error (MSE) degrees of freedom. ![]()
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