?? 第七章 相關分析.htm
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lang=EN-US><SPAN style="mso-tab-count: 1">
</SPAN>激活數據管理窗口,定義變量名:發硒為X,血硒為Y,按順序輸入相應數值,建立數據庫(圖7.1)。</SPAN></P>
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lang=EN-US><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
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lang=EN-US><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
<P class=MsoNormal
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align=center><SPAN lang=EN-US><!--[if gte vml 1]><v:shape id=_x0000_i1027
style="WIDTH: 156pt; HEIGHT: 228.75pt" o:ole="" type = "#_x0000_t75"
coordsize = "21600,21600"><v:imagedata o:title="" src =
"./SP07.files/image005.png"></v:imagedata></v:shape><![endif]--><![if !vml]><img border="0" src="SP07.files/image006.jpg" v:shapes="_x0000_i1027" WIDTH="208" HEIGHT="305"><![endif]><!--[if gte mso 9]><xml> <o:OLEObject Type="Embed" ProgID="CPaint5" ShapeID="_x0000_i1027" DrawAspect="Content" ObjectID="_1004536274"> </o:OLEObject> </xml><![endif]--></SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; LINE-HEIGHT: 15.6pt; TEXT-ALIGN: center; mso-pagination: widow-orphan"
align=center><SPAN
style="FONT-SIZE: 9pt; FONT-FAMILY: 黑體; mso-bidi-font-size: 10.0pt">圖<SPAN
lang=EN-US>7.1<SPAN style="mso-spacerun: yes">
</SPAN>原始數據的輸入</SPAN></SPAN></P></TD></TR></TBODY></TABLE></CENTER></DIV>
<P class=MsoNormal
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style="FONT-FAMILY: 黑體"><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; mso-pagination: widow-orphan"><SPAN lang=EN-US
style="FONT-FAMILY: 黑體">7.1.2.2<SPAN style="mso-spacerun: yes">
</SPAN>統計分析</SPAN></P>
<P class=MsoNormal
style="TEXT-JUSTIFY: inter-ideograph; VERTICAL-ALIGN: bottom; TEXT-ALIGN: justify; mso-pagination: widow-orphan"><SPAN
lang=EN-US><SPAN style="mso-tab-count: 1">
</SPAN>激活Statistics菜單選Correlate中的Bivariate...命令項,彈出Bivariate
Correlation對話框(圖7.2)。在對話框左側的變量列表中選x、y,點擊</SPAN><SPAN lang=EN-US
style="FONT-FAMILY: Wingdings; mso-hansi-font-family: 'Times New Roman'; mso-ascii-font-family: 宋體; mso-char-type: symbol; mso-symbol-font-family: Wingdings"><SPAN
style="mso-char-type: symbol; mso-symbol-font-family: Wingdings">Ø</SPAN></SPAN>鈕使之進入<SPAN
lang=EN-US>Variables框;再在Correlation
Coefficients框中選擇相關系數的類型,共有三種:Pearson為通常所指的相關系數(r),Kendell</SPAN><SPAN lang=EN-US
style="FONT-FAMILY: 'Times New Roman'; mso-ascii-font-family: 宋體">’</SPAN><SPAN
lang=EN-US>s tau-b為非參數資料的相關系數,Spearman為非正態分布資料的Pearson相關系數替代值,本例選用Pearson項;在Test
of Significance框中可選相關系數的單側(One-tailed)或雙側(Two-tailed)檢驗,本例選雙側檢驗。</SPAN></P>
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lang=EN-US><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
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lang=EN-US><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
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align=center><SPAN lang=EN-US><!--[if gte vml 1]><v:shape id=_x0000_i1028
style="WIDTH: 205.5pt; HEIGHT: 168.75pt" o:ole="" type = "#_x0000_t75"
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"./SP07.files/image007.png"></v:imagedata></v:shape><![endif]--><![if !vml]><img border="0" src="SP07.files/image008.jpg" v:shapes="_x0000_i1028" WIDTH="274" HEIGHT="225"><![endif]><!--[if gte mso 9]><xml> <o:OLEObject Type="Embed" ProgID="CPaint5" ShapeID="_x0000_i1028" DrawAspect="Content" ObjectID="_1004536275"> </o:OLEObject> </xml><![endif]--></SPAN></P>
<P class=MsoNormal
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align=center><SPAN
style="FONT-SIZE: 9pt; FONT-FAMILY: 黑體; mso-bidi-font-size: 10.0pt">圖<SPAN
lang=EN-US>7.2<SPAN style="mso-spacerun: yes">
</SPAN>相關分析對話框</SPAN></SPAN></P></TD></TR></TBODY></TABLE></CENTER></DIV>
<P class=MsoNormal
style="TEXT-JUSTIFY: inter-ideograph; VERTICAL-ALIGN: bottom; TEXT-ALIGN: justify; mso-pagination: widow-orphan"><SPAN
lang=EN-US><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
<P class=MsoNormal
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lang=EN-US><SPAN style="mso-tab-count: 1">
</SPAN>點擊Options...鈕彈出Bivariate
Correlation:Options對話框(圖7.3),可選有關統計項目。本例要求輸出X、Y的均數與標準差以及XY交叉乘積的標準差與協方差,故選Means
and standard deviations和Cross-product deviations and
covariances項,而后點擊Continue鈕返回Bivariate Correlation對話框,再點擊OK鈕即可。</SPAN></P>
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lang=EN-US><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
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align=center><SPAN lang=EN-US><!--[if gte vml 1]><v:shape id=_x0000_i1029
style="WIDTH: 222.75pt; HEIGHT: 117.75pt" o:ole="" type = "#_x0000_t75"
coordsize = "21600,21600"><v:imagedata o:title="" src =
"./SP07.files/image009.png"></v:imagedata></v:shape><![endif]--><![if !vml]><img border="0" src="SP07.files/image010.jpg" v:shapes="_x0000_i1029" WIDTH="297" HEIGHT="157"><![endif]><!--[if gte mso 9]><xml> <o:OLEObject Type="Embed" ProgID="CPaint5" ShapeID="_x0000_i1029" DrawAspect="Content" ObjectID="_1004536276"> </o:OLEObject> </xml><![endif]--></SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; LINE-HEIGHT: 15.6pt; TEXT-ALIGN: center; mso-pagination: widow-orphan"
align=center><SPAN
style="FONT-SIZE: 9pt; FONT-FAMILY: 黑體; mso-bidi-font-size: 10.0pt">圖<SPAN
lang=EN-US>7.3<SPAN style="mso-spacerun: yes">
</SPAN>相關分析統計對話框</SPAN></SPAN></P></TD></TR></TBODY></TABLE></CENTER></DIV>
<P class=MsoNormal
style="TEXT-JUSTIFY: inter-ideograph; VERTICAL-ALIGN: bottom; TEXT-ALIGN: justify; mso-pagination: widow-orphan"><SPAN
lang=EN-US><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; mso-pagination: widow-orphan"><SPAN lang=EN-US
style="FONT-FAMILY: 黑體">7.1.2.3<SPAN style="mso-spacerun: yes">
</SPAN>結果解釋:<o:p></o:p></SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; TEXT-INDENT: 21pt; mso-pagination: widow-orphan">在結果輸出窗口中將看到如下統計數據:變量<SPAN
lang=EN-US>X、Y的例數、均數與標準差,變量X、Y交叉乘積的例數、標準差與協方差;XY兩兩對應的相關系數及其雙側檢驗的概率,本例r =
0.8715,P = 0.001。</SPAN></P>
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lang=EN-US
style="FONT-FAMILY: 黑體"><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
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<TD
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<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; mso-pagination: widow-orphan"><SPAN
lang=EN-US>Variable<SPAN
style="mso-spacerun: yes"> </SPAN>Cases<SPAN
style="mso-spacerun: yes">
</SPAN>Mean<SPAN
style="mso-spacerun: yes">
</SPAN>Std Dev</SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; mso-pagination: widow-orphan"><SPAN
lang=EN-US>X<SPAN
style="mso-spacerun: yes">
</SPAN>10<SPAN
style="mso-spacerun: yes">
</SPAN>75.4000<SPAN
style="mso-spacerun: yes">
</SPAN>12.2945</SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; mso-pagination: widow-orphan"><SPAN
lang=EN-US>Y<SPAN
style="mso-spacerun: yes">
</SPAN>10<SPAN style="mso-spacerun: yes">
</SPAN>10.8000<SPAN
style="mso-spacerun: yes">
</SPAN>3.3267</SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; mso-pagination: widow-orphan"><SPAN
lang=EN-US><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; mso-pagination: widow-orphan"><SPAN
lang=EN-US>Variables<SPAN
style="mso-spacerun: yes">
</SPAN>Cases<SPAN style="mso-spacerun: yes">
</SPAN>Cross-Prod Dev<SPAN style="mso-spacerun: yes">
</SPAN>Variance-Covar</SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; mso-pagination: widow-orphan"><SPAN
lang=EN-US>X<SPAN
style="mso-spacerun: yes">
</SPAN>Y<SPAN
style="mso-spacerun: yes">
</SPAN>10<SPAN
style="mso-spacerun: yes">
</SPAN>320.8000<SPAN
style="mso-spacerun: yes">
</SPAN>35.6444</SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; mso-pagination: widow-orphan"><SPAN
lang=EN-US><![if !supportEmptyParas]><![endif]> <o:p></o:p></SPAN></P>
<P class=MsoNormal
style="VERTICAL-ALIGN: bottom; mso-pagination: widow-orphan"><SPAN
lang=EN-US><SPAN
style="mso-spacerun: yes">
</SPAN>X<SPAN
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