Stat 552

# Homework 6

##### Due Feb 26th

1. Faraway 6.1
2. Faraway 7.4 & 7.5
3. Is there evidence heart disease is related to pace of life?

The dataset ex0914 in the package Sleuth3 contains observations on three pace of life indicators and heart disease in cities across America. A more thorough description is attached here: pace-of-life

Your task is to answer the question “Is there evidence heart disease is related to pace of life?” through a complete regression analysis.

• Introduction Give a brief overview of the data, a little bit of background and the questions of interest. Keep this concise, understandable to someone outside of this class, free of statistical jargon and to the point. You should provide a summary graphic of the data involved or some basic summary statistics (it’s up to you how you do this).

• Methods Set down any regression models you plan to fit and describe how the model(s) will be used to answer the question of interest. State the assumptions required for inference.

• Results Discuss your examinations of the diagnostics and unusual observations and and any adjustments that were made to the model or data. Provide your findings including:

• fitted models - including estimate’s, s.e.’s, confidence intervals (if relevant), the estimate of $\sigma$, $R^2$, adjusted $R^2$ and degrees of freedom.
• the results of hypothesis tests (if relevant)
• Conclusions Provide interpretation of the relevant results in the context of the study. Also set out model and/or design/data limitations and suggestions for future work.

The report should be generated using Rmarkdown (or knitr or Sweave etc.) but should not include any raw R code or raw R output.

Make sure graphs and figures are labelled properly (i.e. using English language names for axis labels not abbreviated R variable names).

You might find the pander function in the pander package useful for nicely typesetting
tables in Rmarkdown.