3. Logistic regression: You decide to rest another modelling approach. For a classification purpose, you discretize your dataset X X N Y X X X N Y X X Strong 12 52 Yes II WER 4.7 Ye 21 Weak LI 5,1 2 Week 3,5 Na 12 Weak 11 27 Yes 22 Weak 5.1 Strong 12 10 No 13 Strong 4,4 No 23 Strong 11 + Weak m 47 Yes 14 Strong 12 1.5 No 24 Strong 12 4,5 5 We LI 30 Yes 15 Weak 49 Na 25 Weak 1 50 6 Strang 52 No 16 Strang LI 10 Yes 26 Strong 2 41 7 Strong 2.9 Ya 17 Strong 11 3,7 Yes 27 Weak 3,4 Strong 5.4 No 18 WG 5,3 Yes 28 Strong 02 3,8 9 Strong No 19 Weak No 29 Strong 46 10 String 43 Yes 20 Strong 12 +1 Na 30 Weak 11 3,33 X No No Yes Yes Yes Yes Yes No Yes Yes 31 Provide the general formula of the logistic regression model to explain Y using X, X, and X, (Strong": 0 Weak) 32 After the estimation step. you found that the coefficient associated with X, is equal (115453) and the coefficient associated with X, is equal (-0,680049) Provide the interpretation of these values