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<p>Traza, a ojo, la recta de regresión en cada una de estas distribuciones bidimensionales:</p> <table style="width: 263px; height: 24px;" border="0"> <tbody> <tr> <td><img src="data:image/jpeg;base64,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" alt="" /></td> </tr> </tbody> </table> <ul> <li>Indica cuales de ellas tienen correlación positiva y cuáles tienen correlación negativa.</li> </ul> <p>A) Correlación {:MC:=Negativa~Positiva} B) Correlación {:MC:Negativa~=Positiva}</p> <p>C) Correlación {:MC:Negativa~=Positiva} D) Correlación {:MC:=Negativa~Positiva}</p> <ul> <li>Una de ellas presenta relación funcional.¿Cuál?¿Cuál es la expresión analítica de la función que relaciona las dos variables?</li> </ul> <p>Relación funcional {:MC:=A~B~C~D} Expresión analítica y ={:SA:=#ecu}</p> <ul> <li>Ordena de menor a mayor las correlaciones</li> </ul> <p>{:MC:=C~A~B~D} < {:MC:C~A~B~=D} < {:MC:C~A~=B~D} < {:MC:C~=A~B~D}</p>
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