I have a model for which I gathered 10 observations from each person, a total of 25 people, then 250 observations.
Well, this is part of my summary of the model,
> summary(m) Call: lm(formula = fmla, data = mydata) Residuals: Min 1Q Median 3Q Max -9.3311 -3.8480 -0.3134 3.3273 13.4413 Residual standard error: 5.246 on 216 degrees of freedom Multiple R-squared: 0.7702, Adjusted R-squared: 0.7351 F-statistic: 21.94 on 33 and 216 DF, p-value: < 2.2e-16
Looking at this results may seem that the model is pretty significant, but when I plot the Residuals vs Fitted I get this plot,
Which suggests me that there is a pattern in the plot. I figure this is about the 10 observations for each person. Can anyone help me analyse this plot?