STAT-UB.0003: Regression and Forecasting Models

Course Staff

Instructor

Prof. Perry (pperry@stern.nyu.edu)

Office Hours:

• Tuesday, 5:00 p.m. – 6:00 p.m.
• Thursday, 5:00 p.m. – 6:00 p.m.

Office: KMC 8-63

Teaching Fellow

Qiying Michael Zhang (qz437@stern.nyu.edu)

Office Hours:

• Monday, 3:30 p.m. – 4:30 p.m.
• Wednesday, 1:00 p.m. – 2:00 p.m.

Office: KMC 3-80

Lecture Notes

• Sep 03 - Sampling Distributions (Solutions)
  • Taxi Data
  • Map of Community Districts
  • Central Limit Theorem Demo
• Sep 08 - Confidence Intervals & Hypothesis Tests (Solutions)
  • Confidence Interval Simulation
  • SoHo Halal Guy's Yelp Page
  • How Much Does This Cow Weigh?
  • Planet Money Episode 644
• Sep 10 - Introduction to Linear Regression (Solutions)
  • mealsdata.csv
• Sep 15 - Regression Model Assumptions (Solutions)
  • mealsdata.csv
  • village.csv
• Sep 17 - Regression Inference (Solutions)
  • mealsdata.csv
  • village.csv
• Sep 29 - Regression Diagnostics (Solutions)
• Oct 1 - Mulitple Regression, F Tests (Solutions)
  • easton.csv
  • mealsdata.csv
• Oct 6 - Mulitple Regression 2 (Solutions)
  • easton.csv
  • ugsurvey-fa13.csv
• Oct 8 - Regression with Qualitative and Quantitative Variables (Solutions)
  • ugsurvey-fa13.csv

Lecture Videos

• Sep 03
• Sep 08
• Sep 10
• Sep 15
• Sep 17
• Sep 22
• Sep 29
• Oct 01
• Oct 06
• Oct 08
• Oct 15

Note: to watch these videos, you may need to log on to vpn.stern.nyu.edu and click “Start” next to “Network Connect.”

Handouts and Assignments

• Syllabus
• Minitab Tips
• Homework #1 (Solutions)
  • normtemp.csv
• Z Table
• T Table
• Homework #2 (Solutions)
  • rpipe.csv
  • satmat.csv
• Homework #3 (Solutions)
  • lspill.csv
  • defaultint.csv
• Sample Midterm
  • This is the midterm from the Spring 2014 offering of this course.
  • Problems 4, 5, and 14 require material that we have not yet covered; you will not be tested on this material.
  • I will go over the solutions in class on Tuesday, Sep 22.
• Homework #4 (Solutions)
  • gesell.csv
• Homework #5 (Solutions)
  • Note: we did not cover the material necessary for problem 5. You are not expected to know this material. You will only be graded on problems 1-4.
  • acchw.csv
  • adrec.csv
• Sample Final
  • Problems 9 and 10 require material that we did not cover; you will not be tested on this material.
  • I will go over the solutions in class on Thursday, Oct 15.