Load the UN11 data set from the alr4 package. The data set includes 237 observations related to national health, welfare, and education statistics for 210 places, mostly UN members, but also other areas like Hong Kong that are not independent countries. More details can be found by running ?alr4::UN11 in the R Console. The variables in the data set include:

region: region of the world group: a factor with levels oecd for countries that are members of the OECD, the Organization for Economic Co-operation and Development, as of May 2012, africa for countries on the African continent, and other for all other countries. No OECD countries are located in Africa. fertility: number of children per woman ppgdp: per capita gross domestic product in US dollars lifeExpF: female life expectancy, in years pctUrban: percent urban

library(effects)

## Loading required package: carData ## lattice theme set by effectsTheme() ## See ?effectsTheme for details. data(UN11, package = "alr4") We will consider the relationship between the response log(fertility) and several of the other variables in the data set.

# Problem 1

Fit a linear model regressing `log(fertility)` on `pctUrban`. Print the estimated coefficients of the model.

# Problem 2

What is the equation for the fitted model?

# Problem 3 Interpret the estimated coefficient for `pctUrban` in a straightforward sentence in the context of the problem.

# Problem 4

Use the fitted model to construct an effect plot for `pctUrban` on `fertility` (on the original scale for `fertility`). Note you will need to modify the `axes` argument of the `plot` function. The **effects** package has a vignette that may be helpful, it may be accessed by running `vignette("predictor-effects-gallery", package = "effects")` in the R console.

# Problem 5

Interpret the effects plot from the previous problem.