August 2015
Intermediate to advanced
272 pages
5h 46m
Japanese
Content preview from Think Stats 第2版 ―プログラマのための統計入門
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153
153
11.2 重回帰
推定パラメータ値は、
LeastSquares
と同じく、
6.83
と
0.0175
とです。
pvalues
は、変数名をその
p
値に対応付けるシーケンスなので、推定した傾きが統
計的に有意かどうか調べることができます。
slope_pvalue = results.pvalues['agepreg']
agepreg
の
p
値は
5.7e-11
で、予期していたとおり、
0.001
よりも小さな値です。
results.rsquared
は、
R
2
を表しており、その値は
0.0047
です。
results
には、
f_
pvalue
もあって、これは、モデル全体の
p
値を与えます。すなわち、
R
2
が統計的に
有意かどうか検定するのと同じことです。
さらに、
results
には、残差のシーケンス
resid
と、
agepreg
に対応する適合値のシー
ケンス
fittedvalues
があります。
オブジェクト
results
には、読みやすい形式で結果を表す
summary()
というメソッ
ドもあります。
print(results.summary())
ただし、これは、（まだ）無関係な情報もたくさん出力するので、私は、
SummarizeResult
というもっと単純なメソッドを使います。このモデルの結果は次の
ようになります。
Intercept 6.83 (0)
agepreg 0.0175 (5.72e-11)
R^2 0.004738
Std(ys) 1.408
Std(res) 1.405
Std(ys)
は従属変数の標準偏差で、説明変数を使わずに出生時体重を推定する場合 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.