目录

输出结果

代码设计

输出结果

代码设计

import numpy as np  

def fitSLR(x,y):  

   n=len(x)  

   dinominator = 0  

   numerator=0    

   for i in range(0,n):  

       numerator += (x[i]-np.mean(x))*(y[i]-np.mean(y))

       dinominator += (x[i]-np.mean(x))**2

   print("numerator:"+str(numerator))

   print("dinominator:"+str(dinominator))

   

   b1 = numerator/float(dinominator)

   b0 = np.mean(y)/float(np.mean(x))

   

   return b0,b1

def prefict(x,b0,b1):

   return b0+x*b1

x=[1,6,2,9,30]  

y=[64,54,39,55,48]

b0,b1=fitSLR(x, y)

y_predict = prefict(6,b0,b1)

print("y_predict:"+str(y_predict))

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