Exercises 3 : Hares and Roots! Data in the form of counts like the Canadian hare population, often show Poisson-like behaviour. In particular they have a higher variance when the population is high. One remedy is to use the square root transformation. Calculate the square root of hare and investigate possible ARIMA models for it. [ Hint: Use the partial autocorrelation function, pacf. Remember - The key fact about the PACF (obtained using the R function pacf), is that for an AR(p) process, the first p partial correlations will be significant. Look into and comment on both best fit and model adequacy. Write out the model equation for each model you fit (remember the square root