---
title: "HW 9"
author: "Name here"
output: html_document
---

Please use D2L to turn in both the HTML output and your R Markdown file in.

### Q1. (30 pts) 
Use a dataset containing information about Antelope in the Thunder Basin National Grasslands in Wyoming Study to fit a regression model for Spring fawn count. The variables are:

- Spring fawn count / 10
- size of the adult population / 100
- annual precipitation (inches)
- winter severity index (1 = mild, ..., 5 = severe)

Assume this is an analysis you have been asked to perform as part of a job interview. Write a 1-2 page summary of your analysis using R Markdown. This should include an introduction, a data section with some exploratory graphics, a section on modeling that contains the sampling model and prior selections, and a conclusion. For this analysis, construct a set of dummy variables to account for the winter severity index.


```{r}
Antelope <- read.csv('http://math.montana.edu/ahoegh/teaching/stat491/data/Antelope.csv')

```

