[英]Meaning of statsmodels OLS return.params
I am trying to do linear regression with OLS and Res.params
has retruned me a 2x2 array. 我正在尝试使用OLS和
Res.params
进行线性回归,因此向我回归了2x2数组。 I know the .params[0][1]
and .params[1][1]
are the beta and constant of the regression. 我知道
.params[0][1]
和.params[1][1]
是回归的beta和常数。 However, what's the meaning for .params[0][0]
and .params[1][0]
? 但是,
.params[0][0]
和.params[1][0]
的含义是什么?
My implementation: 我的实现:
import statsmodels.api as sm
X = np.arange(0, 20)
X = sm.add_constant(X)
Y = (X * 3) + 8
Res = sm.OLS(Y, X).fit()
Res.params
array([[ 1.10000000e+01, 8.00000000e+00],
[ 5.37764278e-17, 3.00000000e+00]])
Questions: 问题:
Thanks @user2285236. 感谢@ user2285236。 It seems I messed up the order of the implementation.
看来我弄乱了执行顺序。 It works now:)
现在可以使用:)
import statsmodels.api as sm
X = np.arange(0, 20)
Y = (X * 3) + 8
X = sm.add_constant(X)
Res = sm.OLS(Y, X).fit()
Res.params
array([ 8., 3.])
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