Does my ANOVA table make sense? these are my results as part of my Master Thesis.
I am curious whether the high degree of freedom for the residuals of 98 makes sense at all. My data set has n=100 observation and I have 1 independent variable.
Thank you!
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Yes, this is totally self-consistent.
You get the one degree of freedom by having one dimension in your feature space (from the one predictor), often denoted as $p-1$ where $p$ is the number of parameters in your model (including the intercept, then subtract the one intercept parameter).
You get $98$ from the sample size minus the number of parameters in the model.
Note that, if you have a categorical $x$ variable, your hypothesis test is equivalent to an equal-variance (not Welch) t-test of $y$ values in the two categories.
