Exercise

# Multiple regression with interaction

As seen, interactions can be added to a multiple regression model.

The `talent`

dataset has been used previously to introduce the modeling of functions in R. A multiple regression between `english`

and `creativity`

and `reading`

has been performed since we were interested in the extent to which `creativity`

and `reading`

succeed in predicting `english`

.

In this exercise, we are also interested in how the interaction between `reading`

and `creativity`

plays a role in explaining `english`

. Hence, an **interaction term** is **added** to the original model.

Instructions

**100 XP**

- Regress
`english`

against`creativity`

and`reading`

using the`lm()`

function. The original multiple regression model is created once more and is assigned the name`model_1`

. - Apply the
`summary()`

function to obtain some summary statistics for`model_1`

. - The interaction between variables
`creativity`

and`reading`

is introduced by the inclusion of an interaction term. Adapt the original multiple regression model by the inclusion of the interaction term. Assign it to`model_2`

. - Apply the
`summary()`

function to obtain some summary statistics for`model_2`

.