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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.

यह अभ्यास पाठ्यक्रम का हिस्सा है

Hierarchical and Mixed Effects Models in R

पाठ्यक्रम देखें

अभ्यास निर्देश

  • 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.

इंटरैक्टिव व्यावहारिक अभ्यास

इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।

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

# Fit the generalized linear model
summary(glm(___, family = "___"))
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