I'm having trouble interpreting my R output. I know when checking for variance no patterns should occur but I have only covered the textbook scenario where it is very easy to interpret. However with my output I was just wondering does the validated of constant variance hold up?
It is difficult to judge a plot with such few data points. You could try a formal test of heteroscedasticity such as the Breusch-Pagan test, implemented in the
ncvTest function of the
car package. Given how small your data set is, I would be surprised if significant heteroscedasticity is found.
The size of your data set is a more fundamental issue. A good rule of thumb is you should have 10-20 observations per parameter in your model, so your data set is borderline too small to fit a linear model with even one predictor.