import numpy as np
import matplotlib.pyplot as plt


surf=np.array([552,357,243,41,510,92,313,450,132,301])
pop=np.array([67.6,82.8,65.3,8.3,46.4,10.3,38,10,10.8,61.3])


###########################
## Exemple de régression ##
###########################



fertilite = np.array([2.51,1.33,5.34,1.45,2.82,5.7,6.7,4.35,1.9,3.08,4.23,1.77,1.83,4.86,7,6.1,3.54,1.54,6.4,2.1,7.6])
pop_urb = np.array([26.4,66.7,31.7,73.1,90.3,36.4,39.4,47,85.4,69.5,57,74,53.2,56,13.87,28.6,25.2,77.3,30.6,29.4,21.8])


dens=np.array([7.7,5.8,11.5,2.1,3.7,3.6,7.5,4.2,3.8,10.3,8.6,7.2])
crim=np.array([12,9,15,4,4,5,10,6,5,11,10,11])


 


###############################
## Dépendances non linéaires ##
###############################


X1=np.array([3,13,15,6,5,2,30,6,19,14,26,6,1,7,30])
Y1=np.array([33,8,7,17,20,50,3,17,5,7,4,17,100,14,3])



X2=np.array([20,35,100,85,44,18,29,22,58,65,68,25,11,53])
Y2=np.array([601,1832,14996,10839,2899,492,1268,727,5047,6340,6947,929,179,4210])