Lab 04: Multiple Linear Regression

class: center, middle, inverse, title-slide

# Lab 04: Multiple Linear Regression
### 02.08.19

---

## Agenda

1. Lab introduction

2. Getting started

3. Password caching

---

## Lab introduction

.pull-left[
- Goal: Use multiple linear regression to explore the relationship between a response variable and several quantitative and categorical predictors

- Data: Selling price and other characteristics of over 20,000 houses in sold in King County, Washington (includes Seattle) in 2014 and 2015
]

.pull-right[
![](img/04/seattle-home.jpg)
![](img/04/seattle-home-3.jpg)
]

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## Starting a new project

- Go to the course GitHub organization and find the **lab-04** repo that has your team name on it.

- On GitHub, click on the green Clone or download button, select Use HTTPS (this might already be selected by default, and if it is, you’ll see the text Clone with HTTPS). Click on the clipboard icon to copy the repo URL.

- Go to RStudio Cloud and into the course workspace. Create a New Project from Git Repo. You will need to click on the down arrow next to the New Project button to see this option.

- Copy and paste the URL of your assignment repo into the dialog box and click OK.

- **Update the name of your RStudio project to "Lab 04 - Multiple linear regression"**

---

## Configure Git

- Type the following lines of code in the console in RStudio filling in your name and email address.

```r
library(usethis)
use_git_config(user.name="your name", user.email="your email")
```

---

## Caching your password

You need to cache your password on a per-project basis:

- Go to the **Terminal** within a project (the most recent lab?)
- Type the following to cache your password for `\(60 * 60 * 24 * 7 = 604800\)` seconds

```bash
git config --global credential.helper 'cache --timeout 604800'
```

You will need to enter your GitHub username and password one more time after caching the password. After that you won't need to enter your credentials for 604800 seconds = 7 days.