Assuming omitted factors from the previous experiment such as Position and Games Played vary across participants, we will be able to account for these factors using a standard linear regression. This allows for a relationship between covariates and fixed effects to be seen, but there is no necessity for a parametric distribution to be specified. All observations will be used in this model but players who do not feature for more than one season make no obvious contribution to the within-group variation, therefore making no difference to the estimates of the included covariates. Fixed effects for all players are attainable in this framework, however, which is very useful given the role of the time-invariant factor of race (any given season) (Reilly & Witt, 2011).