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This is currently about linear regression since Martin mentioned this briefly and it ties in nicely with the Tuesday lecture also being on modelling. But, I don't think @mbonsma needs this lecture to tie into her modelling content (correct me if I'm wrong), so feel free to change this to anything you like, if you feel like there is a really important R/analytics/statistic concept that we should include for example. You can also shuffle your lectures and have the data set introduction here if you want student to think about it over the weekend and start working with their data set the following Tuesday.
The text was updated successfully, but these errors were encountered:
This is currently about linear regression since Martin mentioned this briefly and it ties in nicely with the Tuesday lecture also being on modelling. But, I don't think @mbonsma needs this lecture to tie into her modelling content (correct me if I'm wrong), so feel free to change this to anything you like, if you feel like there is a really important R/analytics/statistic concept that we should include for example. You can also shuffle your lectures and have the data set introduction here if you want student to think about it over the weekend and start working with their data set the following Tuesday.
The text was updated successfully, but these errors were encountered: