GLM: Model fit and multiple predictors скачать в хорошем качестве

GLM: Model fit and multiple predictors

This lectures looks at how we ascertain the fit of the model to the data. We review what sums of squares are, and how they can be converted to mean sqares. We look at the computation of the total, residual and model sums of squares, the model and residual mean squares, the F-statistic, and R-square. We then look at how all of what we have learnt to date also applies to models with mutiple predictors. Learn R alongside these lectures with the discovr package (https://www.discovr.rocks/discovr/) Suggested soundtrack: Opeth: The lines in my hand (   • Opeth - The Lines in My Hand (Audio)  )