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BIOL2022 L15 Dealing with BINARY RESPONSE DATA

Descripción

Module 2, Lecture 4 Learning Outcomes: • Binary data: e.g. +/- • Binomial distribution (i.e. not normal) • Logistic regression suits Binary dependent data • Want probability of “success” • Model with logit link function (“transformed” probability) • Plot & interpret using probability of “success” equation • Today, great flexibility: o other statistical analyses for other data distributions
Michael Jardine
Test por Michael Jardine, actualizado hace más de 1 año
Michael Jardine
Creado por Michael Jardine hace alrededor de 6 años
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Resumen del Recurso

Pregunta 1

Pregunta
Question: What features of farmland are good for bandicoots? Which of the following are binary dependent variables?
Respuesta
  • Bandicoot diggings or not
  • Number of bandicoots caught
  • Habitat complexity
  • Logs in the habitat or not

Pregunta 2

Pregunta
The following formulae are used for:
Image:
L15 Image 1 (binary/octet-stream)
Respuesta
  • Binary response data (probability)
  • Continuous response data

Pregunta 3

Pregunta
This graph represents which equation?
Image:
L15 Image 2 (binary/octet-stream)
Respuesta
  • Equation 1
  • Equation 2
  • Equation 3
  • Equation 4
  • Equation 5

Pregunta 4

Pregunta
This graph represents which equation?
Image:
L15 Image 3 (binary/octet-stream)
Respuesta
  • Equation 1
  • Equation 2
  • Equation 3
  • Equation 4
  • Equation 5

Pregunta 5

Pregunta
This graph represents which equation?
Image:
L15 Image 4 (binary/octet-stream)
Respuesta
  • Equation 1
  • Equation 2
  • Equation 3
  • Equation 4
  • Equation 5
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