Use the original Placekick.csv data. The "good" column is the dependent variable. Consider the variables distance and wind and find the best model. Show the steps you took and model comparisons. (hint: consider interaction terms, dummy variables, including or dropping variables) week distance change elap30 PAT type field wind good 1 1 1 20 1 28 1 1 1 1 1 20 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2222222222752222222222222222252222222222212522222224242222222232222222222722 1 24.7167 0 1 1 0 1 0 15.85 0 1 1 0 1 0 0.45 1 1 1 0 0 13.55 0 1 1 0 1 0 21.8667 1 0 0 0 1 0 17.6833 0 0 0 0 0 12.6833 1 0 0 1 4.7833 0 0 0 1 1 0.9167 0 0 0 0 0 25.7667 0 0 0 0 0 6.2667 0 0 0 0 0 1 0 0 0 0 1 1 19.7833 0 0 0 29.1833 1 1 1 0 12.5167 1 0 1 0 10.85 0 1 1.8 1 1 0 1 0 0.0667 1 0 1 0 21.0833 0 19.0333 0 15.75 1 0 0 6.7167 0 0 1.9333 1 1 0 1 0 11.45 1 0 0 1 0 0.65 0 0 1 22.4667 0 0 0 22.15 1 0 0 15.5833 0 0 0 12.1167 1 0 0 0 4.0167 1 0 0 1 1 20.15 0 1 0 0 19.9333 1 0 14.1833 1 1 1 0 19.6 0 1 0 1 0 16.5833 1 0 0 5.3833 1 1 0 1 0 23.7167 1 1 0 1 0 14.9167 0 1 8.4167 0 1 1 0 2.9333 0 1 0 0 0 0.0333 0 0 10.3833 0 1 0 1 0 3.3667 1 1 1 0 1 0 24.0333 1 0 0 18.3833 0 0 0 0 16.2833 0 0 0 0 7.1833 1 0 0 1 1.6833 0 0 0 0 0 24.9833 1 0 0 0 1 1 0.4333 1 0 0 19.0167 1 1 1 23.2167 1 1 1 0 18.0333 1 1 0 1 25.9333 0 0 0 0 0 19 1 0 0 0 1 0 10.4167 0 0 0 0 20 0 6.6667 1 0 0 0 0 0 0 0 0 21.3 1 0 0 0 20 0 2.8667 1 0 0 19.0667 1 1 1 0 1 18.7167 1 1 1 0 1 0 6.5167 1 1 1.2 1 1 0 3.6 0 1 0 21.7167 0 0 7.25 0 1 0 0 0 24.6333 0 1 0 1 0 3.0333 0 1 0 26.9333 1 0 11.9667 1 0 1 0 26.05 1 0 1 0 12.55 0 20.4 0 1 0 1 0 10.9333 1 1 0 1 1.3667 1 0 0 1 100 14.1833 0 1 10.7833 0 0.2667 1 1 1