---
title: "HW 7"
author: "Name here"
date: "Due Friday November 9, 2018"
output: html_document
---

#### Q1. 
Read the article titled Stein's Paradox in Statistics.

##### 5 points
Briefly describe your thoughts on the article.

##### 5 points
How does this article illustrate the concept of shrinkage?

##### 5 points
Summarize Stein's Paradox.


#### Q2. (15 points) 
Generate data from a two-dimensional hierarchical normal model (e.g. students within a school). Write code for a Gibbs sampler and convince me that your code returns the correct answer.


#### Q3. (15 points)
Using the Seattle housing dataset [http://www.math.montana.edu/ahoegh/teaching/stat532/data/SeattleHousing.csv](http://www.math.montana.edu/ahoegh/teaching/stat532/data/SeattleHousing.csv), build a regression model to predict price. This does not have to be a "complete analysis," but include at least one continuous and categorical predictor.