OpenLab Assignment: Post your linear regression project topic (part 1)

As I discussed in class and posted on here last week, you should choose a topic for your linear regression project today.

To encourage you to do this, I’m making this an OpenLab assignment; completing this simple assignment will earn you one point towards the participation component of your course grade:

  • decide whether you want to work on this project individually or together with a partner
  • decide on a topic (broadly speaking) that you’re interested in studying statistically
    • some examples: economics, sports, public health, law/crime, business, finance, entertainment (movies, music, etc), demographics (population, race, gender, etc), politics/elections, transit/transportation, weather, environment, energy, …
  • post your topic in the comments below (if you are working with a partner, only one of you has to post, but then mention in the comment who you’re working with)
  • this should just be one or two sentences. e.g., “I would like to work on a dataset related to the environment and energy consumption.”

This assignment is due this Friday (November 29).  Late submissions will receive partial credit. (But it should only take 10minutes to complete, so just get it done today!)

There will be a “part 2” to this assignment next week, when I will ask you to decide on a specific topic, e.g., “I will analyze a paired dataset regarding CO2 emissions and wealth (GDP per capita), at the country-level.”  You can start thinking about that over the long weekend.

Here are some websites you can browse for ideas for specific topics:

CST Colloquium: “Sports Data Science” – Thurs, Nov 14

There is a CST Colloquium talk on Thursday which is related to statistics. I will be there, and I strongly encourage you to attend if you can.

(To incentivize you to attend, you will earn 1pt towards your participation grade if you do attend! Also, you get free pizza.)

Here are the details:

CST Colloquium Series

Title: Sports Data Science

Presented by: Claudio T. Silva,  NYU

Thursday November 14 from 12:00 to 1pm

Room N918

Refreshment (pizza & soda) will be served.

CST Colloquium Series Title: Sports Data Science Presented by: Claudio T. Silva,  NYU Thursday November 14 from 12:00 to 1pm Room N918 Refreshment (pizza & soda) will be served.
CST Colloquium – Sports Data Science

Math Club talk on “Probability and Games” – Thurs Oct 10

Please note that the college is closed both tomorrow (Wed Oct 9) and next Monday (Oct 14), so we won’t have class again until Wed Oct 16.  In the meantime, please review the introductory material on probability we started discussing yesterday, and start working on the “HW5-Probability” WebWork set (due Fri Oct 18).
In addition, I wanted to let you know about a Math Club talk on Thursday which is very relevant to our course. I will be there, and I strongly encourage you to attend if you can. (To incentivize you to attend, you will earn 1pt towards your participation grade if you do attend!  Also, you get free pizza.)

Here are the details (taken from the Math Club’s OpenLab site):

 

Date: Oct. 10, 2019

Time/Room: 12:45-2pm in N1002

Speaker: Johann Thiel (NYCCT)

Title: Probability and Games

Abstract: In this talk we will analyze various games of chance, including the Monty Hall Problem and Race to the Finish from Let’s Make a Deal and Plinko from The Price is Right. We will use both theoretical and computational methods to understand the probabilities of winning such games.

 

Pizza will be served at 12:45pm.