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About this activity

Evalúa si el diseño metodológico o la interpretación de la regresión lineal es metodológicamente correcta. Responde SÍ o NO.

Created by

Jefatura Enseñanza
Jefatura Enseñanza
Mexico

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Evalúa si el diseño metodológico o la interpretación de la regresión lineal es metodológicamente correcta. Responde SÍ o NO.

by Jefatura Enseñanza
1

La linealidad y la distribución normal de los residuos son supuestos obligatorios que se deben cumplir para validar el modelo lineal.

2

En regresión lineal múltiple, el coeficiente R2 ajustado mide el porcentaje de la variabilidad explicada por el modelo.

3

Un coeficiente de regresión (B) igual a cero indica que existe una relación lineal perfecta y fuerte entre las variables.

4

Si el coeficiente de correlación de Pearson da un valor de -0.85, ¿significa que el modelo lineal no tiene ninguna fuerza?

5

¿La regresión lineal simple permite analizar al mismo tiempo tres variables independientes predictoras en la misma fórmula?

6

Si la variable de desenlace es dicotómica (ej. "Fallece" o "Sobrevive"), ¿se debe modelar con una regresión lineal múltiple?

7

Un investigador usa regresión lineal simple para predecir los niveles de presión arterial (continua) según la edad del paciente.

8

Si el valor de p del coeficiente de una variable independiente es 0.01, ¿significa que esa variable aporta significancia al modelo?

9

La multicolinealidad ocurre cuando las variables predictoras son totalmente independientes entre sí y no guardan relación alguna.

10

La regresión lineal múltiple permite evaluar la influencia simultánea de varias variables predictoras sobre una variable continua.

 
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