Kom igångKom igång gratis

Poisson Regression

A Poisson regression is another type of GLM. This requires integers or count data (i.e., 0, 1, 2, 3, …). For some situations, a Poisson regression can be more powerful (e.g., detecting statistically significantly trends) than a linear model or "Gaussian" regression.

During this exercise, we're going to build a linear regression using the lm() function and a Poisson regression using glm().

The objects x and y are loaded into R for you.

Den här övningen är en del av kursen

Hierarchical and Mixed Effects Models in R

Visa kurs

Övningsinstruktioner

  • Build an lm() where y is predicted by x and then print the summary.
  • Build a glm() where y is predicted by x with a "poisson" distribution function and then print the summary to the terminal.
  • Examine the coefficient estimates for each and notice how only the glm() produces statistically significant estimates for x.

Interaktiv övning med praktiskt arbete

Testa den här övningen genom att slutföra den här exempelkoden.

# Fit the linear model
summary(lm(___))

# Fit the generalized linear model
summary(glm(___, family = "___"))
Redigera och kör kod