一个多元非线性回归分析源码以及其中的公式列表

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lang=EN-US style='font-size:15.0pt;mso-bidi-font-size:12.0pt;font-family:宋体'><!--[if gte mso 9]><xml>
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<p class=MsoNormal><span lang=EN-US style='font-size:18.0pt;mso-bidi-font-size:
12.0pt;font-family:宋体'><![if !supportEmptyParas]>&nbsp;<![endif]><o:p></o:p></span></p>

<p class=MsoNormal><span lang=EN-US style='font-size:18.0pt;mso-bidi-font-size:
12.0pt;font-family:宋体'><span style="mso-spacerun: yes">&nbsp; </span></span><span
style='font-size:15.0pt;mso-bidi-font-size:12.0pt;font-family:宋体;color:#3366FF'>进行线性拟合，设方程为：</span><span
style='font-size:15.0pt;mso-bidi-font-size:12.0pt;font-family:宋体'> <span
lang=EN-US>y = A + Bx<o:p></o:p></span></span></p>

<p class=MsoNormal style='margin-left:18.0pt;tab-stops:list 36.0pt'><sub><span
lang=EN-US style='font-size:15.0pt;mso-bidi-font-size:12.0pt'><!--[if gte vml 1]><v:shape
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src="./线性回归(最小二乘法).files/image014.gif" v:shapes="_x0000_i1031"><![endif]><!--[if gte mso 9]><xml>
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mso-bidi-font-size:12.0pt'><span style='mso-tab-count:1'>&nbsp; </span></span><span
style='font-size:15.0pt;mso-bidi-font-size:12.0pt;font-family:宋体;mso-ascii-font-family:
"Times New Roman";mso-hansi-font-family:"Times New Roman";color:#3366FF'>则有：</span><span
lang=EN-US style='font-size:15.0pt;mso-bidi-font-size:12.0pt'><o:p></o:p></span></p>

<p class=MsoNormal style='margin-left:1.71gd;text-indent:42.0pt;mso-char-indent-count:
3.0;mso-char-indent-size:14.0pt;tab-stops:list 36.0pt;mso-char-indent-size:
15pt'><sub><span lang=EN-US style='font-size:14.0pt;mso-bidi-font-size:12.0pt;
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mso-bidi-font-size:12.0pt;font-family:宋体'><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:56.0pt;mso-char-indent-count:4.0;
mso-char-indent-size:14.0pt;tab-stops:list 36.0pt;mso-char-indent-size:15pt'><sub><span
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mso-bidi-font-size:12.0pt;font-family:宋体'><o:p></o:p></span></p>

<p class=MsoNormal><span lang=EN-US style='font-size:14.0pt;mso-bidi-font-size:
12.0pt;font-family:宋体'><![if !supportEmptyParas]>&nbsp;<![endif]><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span style='font-size:15.0pt;
mso-bidi-font-size:12.0pt;font-family:宋体;mso-ascii-font-family:"Times New Roman";
mso-hansi-font-family:"Times New Roman";color:#3366FF'>相关系数</span><span
lang=EN-US style='font-size:15.0pt;mso-bidi-font-size:12.0pt;color:#3366FF'>r:<o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span lang=EN-US
style='font-size:12.0pt;font-family:宋体;color:#3366FF'>( r越接近于1说明实验数据都密集在所求得的直线的近旁。)<span
style="mso-spacerun: yes">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:56.0pt;mso-char-indent-count:4.0;
mso-char-indent-size:14.0pt;mso-char-indent-size:14pt'><sub><span lang=EN-US
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mso-bidi-font-size:12.0pt;font-family:宋体'><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span lang=EN-US
style='font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:宋体'><![if !supportEmptyParas]>&nbsp;<![endif]><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span style='font-size:14.0pt;
mso-bidi-font-size:12.0pt;font-family:宋体;color:#3366FF'>标准误差<span lang=EN-US>Sr:<span
style="mso-spacerun: yes">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><o:p></o:p></span></span></p>

<p class=MsoNormal style='text-indent:56.0pt;mso-char-indent-count:4.0;
mso-char-indent-size:14.0pt;mso-char-indent-size:14pt'><sub><span lang=EN-US
style='font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:宋体'><!--[if gte vml 1]><v:shape
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mso-bidi-font-size:12.0pt;font-family:宋体'><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span lang=EN-US
style='font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:宋体'><![if !supportEmptyParas]>&nbsp;<![endif]><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span lang=EN-US
style='font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:宋体;color:#3366FF'>A的标准误差Sa:<span
style="mso-spacerun: yes">&nbsp; </span><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:56.0pt;mso-char-indent-count:4.0;
mso-char-indent-size:14.0pt;mso-char-indent-size:14pt'><sub><span lang=EN-US
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src="./线性回归(最小二乘法).files/image024.gif" v:shapes="_x0000_i1036"><![endif]><!--[if gte mso 9]><xml>
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mso-bidi-font-size:12.0pt;font-family:宋体'><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span lang=EN-US
style='font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:宋体'><![if !supportEmptyParas]>&nbsp;<![endif]><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span lang=EN-US
style='font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:宋体;color:#3366FF'>B的标准误差Sb:<span
style="mso-spacerun: yes">&nbsp; </span><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:56.0pt;mso-char-indent-count:4.0;
mso-char-indent-size:14.0pt;mso-char-indent-size:14pt'><sub><span lang=EN-US
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mso-bidi-font-size:12.0pt;font-family:宋体'><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span lang=EN-US
style='font-size:15.0pt;mso-bidi-font-size:12.0pt'><![if !supportEmptyParas]>&nbsp;<![endif]><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span lang=EN-US
style='font-size:15.0pt;mso-bidi-font-size:12.0pt'><![if !supportEmptyParas]>&nbsp;<![endif]><o:p></o:p></span></p>

<p class=MsoNormal style='text-indent:37.5pt'><span lang=EN-US
style='font-size:15.0pt;mso-bidi-font-size:12.0pt'><![if !supportEmptyParas]>&nbsp;<![endif]><o:p></o:p></span></p>

<p class=MsoNormal><span lang=EN-US style='font-size:15.0pt;mso-bidi-font-size:
12.0pt'><![if !supportEmptyParas]>&nbsp;<![endif]><o:p></o:p></span></p>

<p class=MsoNormal><span lang=EN-US style='font-size:9.0pt;mso-bidi-font-size:
12.0pt'><![if !supportEmptyParas]>&nbsp;<![endif]><o:p></o:p></span></p>

<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='font-size:9.0pt;mso-bidi-font-size:12.0pt'><a href="多元非线性回归分析%20帮助主题.htm"><span
style='font-family:宋体;mso-ascii-font-family:"Times New Roman";mso-hansi-font-family:
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