Task:
1. Develop a multiple regression model to predict Zinc (Zn) concentration from a set of plausible predictor variables in the Smith's Lake – Charles Veryard Reserves (2017) dataset .
2. Your development of this model must identify and appropriately deal with:
i. any variables which are not normally distributed
ii. any predictor variables which are co-linear
iii. any predictors for which the null hypothesis can not be rejected
3. You should analyse the residuals of your model to identify and comment on systematic trends, non-normality, and unusual data points.
4. Finally, your report will identify the relationships implied by your model and briefly comment on their environmental significance - do they make sense in the 'real world'?
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