Continuing on from last time where we further analysed the linear model for unemployemnet and total jobs we could satsifactoryily conclude that the data was actually good for the linear model fit that we would be using and it did not actually have to be changed due to the higher value of R squared that is shown.
We further ccomplicate the model by looking at how hotel occcupancy rates can be affected by the hoted avg rates that have been following and how that trends differently.
So we put this in a linear model and try to analyse the fit and model it gives us.
Clearly a linear model can more or less account for overall trends in predicting how average rates can trend on the basis of occupancy.