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ÍNDICE DISTRIBUCIÓNS BIDIMENSIONAIS  UNIDADE 3
Conceptos ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1. Introdución ,[object Object]
1. Introdución  ,[object Object]
[object Object],[object Object],1. Introdución
[object Object],[object Object],1. Introdución
Pero........... Por que se chama  Regresión ? 1. Introdución
[object Object],1. Introdución
[object Object],1. Introdución
[object Object],1. Introdución
[object Object],1. Introdución
[object Object],[object Object],[object Object],[object Object],1. Introdución
[object Object],1. Introdución
[object Object],[object Object],1. Introdución
[object Object],[object Object],1. Introdución
[object Object],[object Object],2. Variables estatísticas bidimensionais
[object Object],[object Object],[object Object],[object Object],[object Object],2. Variables estatísticas bidimensionais
[object Object],[object Object],[object Object],[object Object],[object Object],2. Variables estatísticas bidimensionais
[object Object],[object Object],[object Object],[object Object],2. Variables estatísticas bidimensionais
[object Object],[object Object],3. Táboas bidimensionais de frecuencias. Diagramas de dispersión
[object Object],3. Táboas bidimensionais de frecuencias. Diagramas de dispersión y n … .. … .. … . … y 2 y 1 Y x n … . … . … .. … . x 2 x 1 X
[object Object],[object Object],3. Táboas bidimensionais de frecuencias. Diagramas de dispersión 12 32 16.9 70 17 67 16.6 13 14.6 13.5 12.5 11.3 11.5 Tensión (Y) 63 42 51 42 35 28 30 Idade (X)
[object Object],3. Táboas bidimensionais de frecuencias. Diagramas de dispersión f n … .. … .. … .. f 2 f 1 f i y n …… ..... … .. y 2 y 1 Y x n …… … .. …… x 2 x 1 X
[object Object],[object Object],3. Táboas bidimensionais de frecuencias. Diagramas de dispersión 2 6 7 1 7 7 1 9 8 2 3 2 10 5 4 Número de alumnos (f i ) 10 7 6 5 5 2 Y=nota Xeografía 10 6 6 5 4 3 X=nota Historia
[object Object],[object Object],3. Táboas bidimensionais de frecuencias. Diagramas de dispersión
[object Object],[object Object],[object Object],3. Táboas bidimensionais de frecuencias. Diagramas de dispersión
[object Object],[object Object],[object Object],[object Object],3. Táboas bidimensionais de frecuencias. Diagramas de dispersión
[object Object],[object Object],[object Object],4. Cálculo de parámetros
[object Object],[object Object],[object Object],4. Cálculo de parámetros
[object Object],[object Object],4. Cálculo de parámetros
[object Object],[object Object],5. Dependencia funcional. Dependencia estatística
[object Object],5. Dependencia funcional. Dependencia estatística
[object Object],[object Object],[object Object],[object Object],[object Object],5. Dependencia funcional. Dependencia estatística
[object Object],5. Dependencia funcional. Dependencia estatística
[object Object],[object Object],[object Object],[object Object],[object Object],5. Dependencia funcional. Dependencia estatística
[object Object],[object Object],[object Object],5. Dependencia funcional. Dependencia estatística
[object Object],[object Object],6. Correlación
[object Object],[object Object],[object Object],[object Object],6. Correlación
[object Object],[object Object],6. Correlación
[object Object],6. Correlación
[object Object],6. Correlación
[object Object],[object Object],6. Correlación
[object Object],6. Correlación
[object Object],6. Correlación
[object Object],6. Correlación
[object Object],6. Correlación
6. Correlación
[object Object],6. Correlación
[object Object],6. Correlación
[object Object],6. Correlación
[object Object],6. Correlación
[object Object],6. Correlación
[object Object],6. Correlación
[object Object],[object Object],[object Object],[object Object],[object Object],7. Correlación lineal. Coeficiente de Pearson
[object Object],[object Object],[object Object],[object Object],7. Correlación lineal. Coeficiente de Pearson
[object Object],[object Object],[object Object],7. Correlación lineal. Coeficiente de Pearson
[object Object],[object Object],[object Object],[object Object],7. Correlación lineal. Coeficiente de Pearson
[object Object],8. Regresión linear. Rectas de regresión
[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],[object Object],[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],[object Object],8. Regresión linear. Rectas de regresión
8. Regresión linear. Rectas de regresión ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],8. Regresión linear. Rectas de regresión
[object Object],8. Regresión linear. Rectas de regresión
8. Regresión linear. Rectas de regresión PASO 4: Recolle os datos nunha táboa Alumno nº   Nº horas de estudo N horas  TV  Nº de suspensos 1 4 2 1 2 5 1.5 0 3 4 2.5 3 4 2.5 4 2 5 6 0.5 0 6 0.5 5.5 6 7 1 5 2 8 2 4 5 9 3 2.5 3 10 4.5 1.5 2 11 3 3.5 4 12 1.5 5 3 13 3.5 2.5 4 14 5.5 1 1 15 2.5 3.5 3
8. Regresión linear. Rectas de regresión ,[object Object],[object Object],[object Object],[object Object],[object Object]
8. Regresión linear. Rectas de regresión Horas de estudo – Horas de televisión
8.-Regresión linear. Rectas de regresión   Horas de estudo – Número de suspensos
8.-Regresión linear. Rectas de regresión   Horas de televisión – Número de suspensos
[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],8. Regresión linear. Rectas de regresión
[object Object],[object Object],[object Object],[object Object],8. Regresión linear. Rectas de regresión
[object Object],8. Regresión linear. Rectas de regresión
[object Object],8. Regresión linear. Rectas de regresión
[object Object],8. Regresión linear. Rectas de regresión

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3. distribucións bidimensionais

  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. Pero........... Por que se chama Regresión ? 1. Introdución
  • 8.
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  • 69. 8. Regresión linear. Rectas de regresión PASO 4: Recolle os datos nunha táboa Alumno nº Nº horas de estudo N horas TV Nº de suspensos 1 4 2 1 2 5 1.5 0 3 4 2.5 3 4 2.5 4 2 5 6 0.5 0 6 0.5 5.5 6 7 1 5 2 8 2 4 5 9 3 2.5 3 10 4.5 1.5 2 11 3 3.5 4 12 1.5 5 3 13 3.5 2.5 4 14 5.5 1 1 15 2.5 3.5 3
  • 70.
  • 71. 8. Regresión linear. Rectas de regresión Horas de estudo – Horas de televisión
  • 72. 8.-Regresión linear. Rectas de regresión Horas de estudo – Número de suspensos
  • 73. 8.-Regresión linear. Rectas de regresión Horas de televisión – Número de suspensos
  • 74.
  • 75.
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