From 3a15e35ffae13db7d68eac4d99cdf67eb60f6368 Mon Sep 17 00:00:00 2001
From: ThomasCai <295727207@qq.com>
Date: Fri, 25 Jan 2019 16:54:51 +0800
Subject: [PATCH] Update 24.md

---
 docs/24.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/24.md b/docs/24.md
index e4c4536..e4a1495 100644
--- a/docs/24.md
+++ b/docs/24.md
@@ -337,9 +337,9 @@ from scipy import stats
 
 最小二乘直线称为回归线。最小二乘直线称为回归线。现在你可以从数据8中得到它的等式的证明。设![](http://latex.codecogs.com/gif.latex?\tau{_X,_Y})是$X$和$Y$之间的相关性。然后斜率和截距由下式给出：
 
-![](http://latex.codecogs.com/gif.latex?slope_of_regression_line=\frac{Cov(X,Y)}{Var(X)}=\tau{_X,_Y}\frac{\sigma{_Y}}{\sigma{_X}})
+![](http://latex.codecogs.com/gif.latex?SlopeOfRegression_line=\frac{Cov(X,Y)}{Var(X)}=\tau{_X,_Y}\frac{\sigma{_Y}}{\sigma{_X}})
 
-![](http://latex.codecogs.com/gif.latex?intercept_of_regression_line=E(Y)-slope\cdot{E(X)})
+![](http://latex.codecogs.com/gif.latex?InterceptOfRegression_line=E(Y)-slope\cdot{E(X)})
 
 **标准单位的回归**
 
-- 
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