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Slopes and multiple regression

Previously, you used multiple intercepts to model the expected values for discrete groups. Now, you will model continuous predictor variables with slopes.

In particular, you will model gains in math test scores by building three different models.

The data, school_3_data, has been loaded for you.

Notes:

  • y ~ x is a shortcut for y ~ 1 + x (where 1 + is the intercept in the model), and thus you can omit 1 + in your formulas.
  • Multiple regression use a + in the formula (e.g., y ~ x_one + x_two).
  • Use the interaction shortcut syntax y ~ x_one * x_two so the testing software will correctly score your answer.

This exercise is part of the course

Hierarchical and Mixed Effects Models in R

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Use a linear model to estimate how math kindergarten
# scores predict math gains later
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Edit and Run Code