Python数据分析之一元线性回归问题Python方差分析结论

from sklearn import linear_model
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
df1 = pd.read_excel('C:/Users/Administrator/Desktop/一元材积表.xlsx')

X = np.array(df1[['胸径']])
Y = np.array(df1[['材积']])
plt.rc('font',family='STXihei',size=15)
plt.scatter(X,Y,60,color='blue',marker='o',linewidths=3,alpha=0.4)
plt.xlabel('胸径')
plt.ylabel('材积')
plt.title('一元材积表')
plt.show()

clf = linear_model.LinearRegression()
clf.fit(X,Y)
print(clf.coef_,clf.intercept_)
print(clf.score(X,Y))