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.
This exercise is part of the course
Practicing Statistics Interview Questions in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print the new cat's data
___(___)
# Print the linear model
___(___)