对数回归
对输入的分布表进行对数回归分析并绘制图表。
对数回归：y=A+Bln(x)
相关系数r的解读
0.7＜|r|≦1 相关性强
0.4＜|r|＜0.7 相关性中等
0.2＜|r|＜0.4 相关性弱
0≦|r|＜0.2 无相关性0-1:\normalsize\ Logarithmic\ regression\\
(1)\ mean:\ \overline{\ln x}={\large \frac{{\small \sum}{\ln x_i}}{n}},\hspace{10px}\bar{y}={\large \frac{{\small \sum}{y_i}}{n}}\\
(2)\ trend\ line:\ y=A+B \ln x,\hspace{10px} B={\large\frac{Sxy}{Sxx}},\hspace{10px} A=\bar{y}-B\overline{\ln x}\\
\\
(3)\ correlation\ coefficient:\ r=\frac{\normalsize S_{xy}}{\normalsize \sqrt{S_{xx}}\sqrt{S_{yy}}}\\
\hspace{20px}S_{xx}={{\small \sum}(\ln x_i-\overline{\ln x})^2}={{\small \sum} (\ln x_i)^2}- n \cdot {\overline{\ln x}}^2\\
\hspace{20px}S_{yy}={{\small \sum}(y_i-\bar{y})^2}={{\small \sum} y_i^2}-n \cdot \bar{y}^2\\
\hspace{20px}S_{xy}={{\small \sum}(\ln x_i-\overline{\ln x})(y_i-\bar{y})}={{\small \sum} \ln x_i y_i}-n \cdot \overline{\ln
0.7＜|r|≦1 相关性强
0.4＜|r|＜0.7 相关性中等
0.2＜|r|＜0.4 相关性弱
0≦|r|＜0.2 无相关性0-1:\normalsize\ Logarithmic\ regression\\
(1)\ mean:\ \overline{\ln x}={\large \frac{{\small \sum}{\ln x_i}}{n}},\hspace{10px}\bar{y}={\large \frac{{\small \sum}{y_i}}{n}}\\
(2)\ trend\ line:\ y=A+B \ln x,\hspace{10px} B={\large\frac{Sxy}{Sxx}},\hspace{10px} A=\bar{y}-B\overline{\ln x}\\
\\
(3)\ correlation\ coefficient:\ r=\frac{\normalsize S_{xy}}{\normalsize \sqrt{S_{xx}}\sqrt{S_{yy}}}\\
\hspace{20px}S_{xx}={{\small \sum}(\ln x_i-\overline{\ln x})^2}={{\small \sum} (\ln x_i)^2}- n \cdot {\overline{\ln x}}^2\\
\hspace{20px}S_{yy}={{\small \sum}(y_i-\bar{y})^2}={{\small \sum} y_i^2}-n \cdot \bar{y}^2\\
\hspace{20px}S_{xy}={{\small \sum}(\ln x_i-\overline{\ln x})(y_i-\bar{y})}={{\small \sum} \ln x_i y_i}-n \cdot \overline{\ln
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