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Diagnóstico: Regresión y Correlación

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Diagnóstico: Regresión y Correlación

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About this activity

Quiz rápido sobre regresión y correlación

Created by

MARÍA CRISTINA GONZÁLEZ LARA
MARÍA CRISTINA GONZÁLEZ LARA
Ecuador

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Diagnóstico: Regresión y Correlación
 

Diagnóstico: Regresión y CorrelaciónOnline version

Quiz rápido sobre regresión y correlación

by MARÍA CRISTINA GONZÁLEZ LARA
1

La homocedasticidad implica varianza constante de los errores/residuos a lo largo de los niveles de X.

2

La regresión lineal solo funciona con variables independientes categóricas.

3

La pendiente de la regresión se obtiene sin necesidad de estimar la varianza de los residuos.

4

Un coeficiente de determinación R^2 puede ser mayor que 2.

5

La regresión lineal simple predice Y a partir de X usando una recta.

6

La regresión se utiliza para predecir Y sin considerar la variabilidad de los datos.

7

El diagrama de residuos ayuda a verificar si el modelo es adecuado para los datos.

8

La correlación de Pearson mide la fuerza y dirección de una relación lineal entre dos variables cuantitativas.

9

La correlación de Pearson puede indicar causalidad entre X e Y.

10

El coeficiente de determinación R^2 indica la proporción de variabilidad de Y explicada por X.

 
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