05_multiple_linear_regression.py

from sklearn.linear_model import LinearRegression
from numpy.linalg import lstsq
import numpy as np

x = [[6, 2], [8, 1], [10, 0], [14, 2], [18, 0]]
y = [[7], [9], [13], [17.5], [18]]
model = LinearRegression()
model.fit(x,y)

x1 = [[8, 2], [9, 0], [11, 2], [16, 2], [12, 0]]
y1 = [[11], [8.5], [15], [18], [11]]

predictions = model.predict([[8, 2], [9, 0], [12, 0]])
print ("values of Predictions: ",predictions)	
print ("values of β1, β2: ",lstsq(x, y, rcond=None)[0])	
print ("Score = ",model.score(x1, y1))