Applying the Gaussian model for generalized linear regression
Generalized linear model (GLM) is a generalization of linear regression, which can include a link function to make a linear prediction. As a default setting, the family object for glm
is Gaussian, which makes the glm
function perform exactly the same as lm
. In this recipe, we first demonstrate how to fit the model into the data using the glm
function, and then show that glm
with a Gaussian model performs exactly the same as lm
.
Getting ready
Check whether the car
library is installed and loaded as we require the SLID dataset from this package.
How to do it...
Perform the following steps to fit a generalized linear regression model with the Gaussian model:
- Fit the independent variables, ...
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