{"id":2592,"date":"2024-10-09T09:46:08","date_gmt":"2024-10-09T07:46:08","guid":{"rendered":"https:\/\/ellistat.com\/?post_type=guide-dutilisateur&p=2592"},"modified":"2024-10-23T16:28:41","modified_gmt":"2024-10-23T14:28:41","slug":"04-xy","status":"publish","type":"guide-dutilisateur","link":"https:\/\/ellistat.com\/es\/guide-dutilisateur\/04-xy\/","title":{"rendered":"XY"},"content":{"rendered":"

Ellistat An\u00e1lisis de datos<\/a> permite realizar un estudio de correlaci\u00f3n XY, para medir y analizar la relaci\u00f3n entre dos variables cuantitativas. Este estudio determina si las variables var\u00edan juntas y c\u00f3mo. Aqu\u00ed tienes una gu\u00eda para realizar un estudio de correlaci\u00f3n entre dos variables cuantitativas.<\/p>\n\n\n\n

Los enlaces siguientes contienen los datos utilizados para el estudio de correlaci\u00f3n XY propuesto por Ellistat Data Analysis. Tomemos como ejemplo los siguientes datos:<\/p>\n\n\n\n

Datos independientes \ud83c\uddfa\ud83c\uddf8\/ Donn\u00e9es ind\u00e9pendantes\ud83c\uddeb\ud83c\uddf7 <\/a><\/p>\n\n\n\n

Ejemplo 1: Hallar la correlaci\u00f3n entre una respuesta Y y un factor X :<\/h3>\n\n\n\n
\"\"<\/figure>\n\n\n\n
    \n
  • Coloque los datos cuantitativos en la cuadr\u00edcula con dos columnas X e Y. En el ejemplo, queremos encontrar la correlaci\u00f3n entre Y=\"fuerza\" y X=\"delta\".<\/li>\n\n\n\n
  • Haga clic en el men\u00fa \"Estad\u00edstica inferencial\".<\/li>\n\n\n\n
  • En el zona 1<\/strong>seleccione la columna \"Fuerza\" en Y y la columna \"Delta\" en X.<\/li>\n\n\n\n
  • En zona 2,<\/strong> elija el tipo de sus datos. Por defecto, si las 2 columnas seleccionadas contienen valores cuantitativos, Ellistat trazar\u00e1 la curva de correlaci\u00f3n entre Y y X. Adem\u00e1s del submen\u00fa XY, tambi\u00e9n puede elegir los submen\u00fas \"Proporci\u00f3n\", \"Poblaci\u00f3n\" o \"Correlaci\u00f3n\" \ud83d\udcdd: elija \"\" XY<\/li>\n\n\n\n
  • En Zona 3<\/strong>El diagrama de dispersi\u00f3n muestra los valores de Y para valores X .<\/li>\n\n\n\n
  • En el zona 4<\/strong>se dispone de los siguientes elementos:\n
      \n
    • el modelo de regresi\u00f3n lineal de Y en funci\u00f3n de X, del tipo Y= aX+b<\/li>\n\n\n\n
    • El coeficiente de determinaci\u00f3n R\u00b2 es una medida estad\u00edstica utilizada para evaluar la calidad de la predicci\u00f3n de un modelo de regresi\u00f3n lineal. Indica la proporci\u00f3n de la varianza de la variable dependiente que se explica por la varianza de la variable independiente.<\/li>\n\n\n\n
    • el valor P, que caracteriza el grado de significaci\u00f3n del impacto del factor X sobre la respuesta Y. En otras palabras, ayuda a determinar si los resultados observados son estad\u00edsticamente significativos y si los coeficientes de regresi\u00f3n son diferentes de cero.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
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