Moving on from last time where we were simply just looking at the type of the data that we could be considering and all the drawbacks with using data that is not actually useful because of the amount of data present as it is nearly just 200 rows of data.
Still using this we decided to choose unemployment numbers and job numbers to see if we could find any models that could fit it reasoably well without any of the pitfalls of the rest of the modelling.
So we looked at initially just fitting a few simple linear models to give us an idea of how things were related and how they looked really.
Clearly the R squared value here shows that it’s highly related and the plots show the same as well.
