采用statsmodels处理多元回归问题

import numpy as np
import pandas as pd
from scipy import stats
import statsmodels.api as sm 
import matplotlib.pyplot as plt

  

 

  
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data = pd.read_excel('Housing.xlsx')

  

 

  
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data.head()

  

 

  
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数据集介绍

房价和影响房价的因素

Multivariate Regression（多元回归）

Independent Variables: “House Size (sq.ft.)”, “Number of Rooms”, “Year of Construction”

X = data[['House Size (sq.ft.)', 'Number of Rooms', 'Year of Construction']]
Y = data['House Price']

  

 

  
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X1 = sm.add_constant(X)
reg = sm.OLS(Y, X1).fit()

reg.summary()

  

 

  
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Independent Variables: “House Size (sq.ft.)”, “Number of Rooms”

X = data[['House Size (sq.ft.)', 'Number of Rooms']]
Y = data['House Price']

  

 

  
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X1 = sm.add_constant(X)
reg = sm.OLS(Y, X1).fit()

reg.summary()

  

 

  
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Independent Variables: “House Size (sq.ft.)”, “Year of Construction”

X = data[['House Size (sq.ft.)', 'Year of Construction']]
Y = data['House Price']

  

 

  
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X1 = sm.add_constant(X)
reg = sm.OLS(Y, X1).fit()

reg.summary()

  

 

  
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Independent Variables: “Number of Rooms”, “Year of Construction”

X = data[['Number of Rooms', 'Year of Construction']]
Y = data['House Price']

  

 

  
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X1 = sm.add_constant(X)
reg = sm.OLS(Y, X1).fit()

reg.summary()

  

 

  
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文章来源: maoli.blog.csdn.net，作者：刘润森！，版权归原作者所有，如需转载，请联系作者。

原文链接：maoli.blog.csdn.net/article/details/89789467