{"push_id":685641674,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"ee026d2d4255780ce24ecfe7a7748f30ab1f144d","before":"2ea1930b449e749f9d988f93aa63c3ce2a82f2c0","commits":[{"sha":"ee026d2d4255780ce24ecfe7a7748f30ab1f144d","author":{"email":"59b0906a99c2277f90f2afba8a7b24a621203c7d@gmail.com","name":"Ben R Fitzpatrick"},"message":"Added in a more gentle introduction to linear modelling - we use the same data set but now start with linear models with single independent variables, then add in a polynomial term in addition to the linear term (still just for the one independent variable 'x1').  Only then do we work up to predicting 'y' with 'x1' and 'x2' along with polynomial terms for both and a linear interaction term.","distinct":true,"url":"https://api.github.com/repos/brfitzpatrick/Intro_to_R/commits/ee026d2d4255780ce24ecfe7a7748f30ab1f144d"}]}