In the first part I created the data for testing the Astronomical/Astrological Hypotheses. In this part, I started by fitting a simple linear regression model. mod.lm = lm(div.a.ts~vulcan.ts) summary(mod.lm) Call: lm(formula = div.a.ts ~ vulcan.ts) Residuals: Min 1Q Median 3Q ...

The assumptions of simple linear regression include the assumption that the errors are independent with constant variance. Fitting a simple regression when the errors are auto-correlated requires techniques from the field of time series. If you are interested in fitting a model to an evenly spaced series where the terms ...