Exercise

Linear model, a special case of GLM

In this exercise you will fit a linear model two ways, one using the ols() function and one using the glm() function. This will show how a linear model is a special case of a generalized linear model (GLM).

You will use the preloaded salary dataset introduced in the video.

Recall that the linear model in Python is defined as:

ols(formula = 'y ~ X', data = my_data).fit()

and the generalized linear model can be trained using

glm(formula = 'y ~ X', data = my_data, family = sm.families.___).fit()

Instructions 1/2

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Import the statsmodels.api with the common alias sm, and the ols and glm modules from the statsmodels.formula.api.
Fit a linear model by predicting Salary with Experience using the salary dataset.