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. Find Galton’s original article (on jstor.org or LEARN). On Table I of his article, the data used are 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.

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 and provide a justification with one sentence. Define “tall parents” and “short parents” according to your data. Then divide your sample into these two groups and report relevant statistics for the adult children and for parents in each group. Report this information in a table and comment it.

• Question 2. 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”).
Regress the height of adult children against the height of parents. Report your results in a tableland interpret the estimated coe