Combining models for multiple countries

One important advantage of changing models to tidied data frames is that they can be combined.

In an earlier section, you fit a linear model to the percentage of "yes" votes for each year in the United States. Now you'll fit the same model for the United Kingdom and combine the results from both countries.

This exercise is part of the course

Case Study: Exploratory Data Analysis in R

View Course

Exercise instructions

Fit a model for the United Kingdom similar to the one you fit for the US and save it as UK_fit.
Tidy US_fit into a data frame called US_tidied and the UK model into UK_tidied.
Use bind_rows() from dplyr to combine the two tidied models, printing the result to the console.

Hands-on interactive exercise

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

# Linear regression of percent_yes by year for US
US_by_year <- by_year_country %>%
  filter(country == "United States")
US_fit <- lm(percent_yes ~ year, US_by_year)

# Fit model for the United Kingdom


# Create US_tidied and UK_tidied


# Combine the two tidied models

Edit and Run Code