To complete this homework assignment, please consider a dataset that has been collected in an effort to understand factors that influence deer populations. The dataset includes 1 measured, response variable (y = deer population) and 5 fixed-and-known predictor variables (x1 = hunting rates; X2 = vegetation cover; x3 = disease rates; X4 = precipitation; and xs = temperature). I have provided neither data nor output here, so you do not need to calculate or interpret results for this assignment. Instead, please: 1. Identify four possible approaches for completing multiple regression analysis of these data and briefly describe the advantages and disadvantages of each. 2. Provide a brief summary of how each approach would be executed, including (where appropriate) the initial model considered and how parameters are added or eliminated at each step