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<quiz>
 <!-- categoryid: 1254 -->
 <question type="category"><category><text>MATE CCSS I/Tema 6- Estadistica bidimensional/Galdetegiak egiteko</text></category></question>
 
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 <question type="multianswerwiris">
    <name>
      <text>Ariketa_7</text>
    </name>
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" alt="" height="141" width="543"></p>
<p>&nbsp;</p>
<p><span style="color: #ff0000;">Utiliza punto ( . ) para valores decimales</span></p>
<p>Recta de regresión&nbsp; de Y sobre X :&nbsp; y =&nbsp; {#1}</p>
<p>Alargamiento con 100 g = {#2} cm</p>
<p>Alargamiento con 500 g = {#3} cm</p>
<p>Correlación = {#4}</p>
<p>Es más fiable {#5}</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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            <![CDATA[{2:SA:=#rect}]]>
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        <wirissubquestion>
            <![CDATA[{1:SA:=#r}]]>
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        <wirissubquestion>
            <![CDATA[{1:MC:=Primera estimación~Segunda estimación}]]>
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 </quiz>
