Part 1: Analysis with Galton’s original data set
Galton’s work on children and parents’ height was published in: Galton, F. (1886): “Regression
towards mediocrity in hereditary stature”, Journal of the Anthropological Institute, 15: 246-63. In
this first part of the project you are asked to reconstruct the original data from this original article
and replicate his analysis.
- Question 1.1. Find Galton’s original article (you can use www.jstor.org). You can also find
it on LEARN. On Table I of his article, the data used is summarized. You need to create a
STATA data set that contains the 928 observations that Galton collected. It is recommended
that you first type the data in an excel file and then have STATA read that file. Some versions
of the Galton data set are available online. You are advised NOT to use them. It is part of this
project that you show that you understand how to make a data set from such a table. There
are important conceptual issues that you will miss if you borrow the data from somewhere
else.
(i) For those observations reported in Table I of Galton’s article as “below” or “above” the
minimum and maximum height values, you need to assume some particular values.
state these explicitly in a table (Table 1.1.a.) and provide a justification with one sentence.
(ii) Given your assumptions, what is the sample mean height and standard deviation for adult
children and for parents, respectively? Report this in a table (Table 1.1.b.).
- Question 1.2. For the rest of part 1, assume that there are 928 parents in the sample
rather than 205. Define “tall parents” and “short parents”. Then divide your sample into two
corresponding groups.
(i) Are children of “tall parents” as tall as their parents? And similarly, are children of “short
parents” as short as their parents? Report your results in a table.
(ii) Does the assumption of having 928 parents rather than 205 matter for this exercise?
- Question 1.3. Galton was the first to describe and explain the phenomenon of “regression to-
wards the mean”. Being concerned about the height of the English aristocracy, he interpreted
his results as “regression to mediocrity” (hence the name “regression”).
(i) Regress the height of adult children against the height of parents. Report your results in
a table and interpret the estimated coe