Predicting with linear models

The skill of prediction is necessary if you apply for positions such as a magician, a clairvoyant, or a data scientist.

Regression models can be used to predict an independent variable for new data points. You can easily predict with R functions, but it's worth knowing how the results are computed.

The following variables are available in the environment:

• cats - the dataset from the MASS package,
• model - the linear regression model that you've fitted in the last exercise,
• new_cat - the value of bodyweight for a new cat.