## Luther // w3d3

**Winter 2015**

**01/28/2015**

### Planned schedule and activities

**9:00 am**: Aftermath of the non-storm with coffee

- Work time on Luther, Challenges

**12:00 pm**: Lunch before Broadchurch

**12:30 pm**: Broadchurch is happening in the back room! Leah is making popcorn!

**1:30 pm**: Linear Model Assumptions

- Gauss-Markov Theorem (BLUE)
- What happens when assumptions aren't met
- If it's a real problem, how to fix it

**3:00 pm**: More work time

**5:00 pm**: Randy Carnevale's talk

- He is a data scientist at Capital One here in New York

### Some example code to plot Q-Q plots

```
import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as stats
measurements = np.random.normal(loc = 20, scale = 5, size=100)
stats.probplot(measurements, dist="norm", plot=plt)
plt.show()
```