On Monday, we will finish up Chapter 4 of the course packet by talking about correlation among the predictors in a regression model (collinearity). We will then cover Chapter 5 of the course packet. Key topics:
sampling distributions and standard errors
bootstrapping
confidence intervals
the normal linear regression model
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Week 4 (February 6-8, 2017)
Note: no evening help sessions this week – both David and Ellen need to cancel. To make up for this, I will hold extra office hours in GDC 7.516 on Wednesday of this week from 4:30 to 5:30 PM.
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Week 3 (January 30 - February 1, 2017)
On Monday, we will practice fitting nonlinear curves. The in-class case study is on finding an optimal price for milk, given historical sales and price data. This will finish out Chapter 2 of the course packet. You might also want to check out the mini walkthrough on how to optimize...
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Week 2 (January 23-25, 2017)
On Monday, we will take some time to practice exploratory data analysis skills in class. There are two short case studies. First, there’s just a single variable to work with: calorie counts for meals at Chipotle. Follow the link and answer the questions for discussion in class.
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Week 1 (January 16-18, 2017)
Welcome to STA 371H! On the first day of class, we’ll give an overview of the course (the course syllabus is here.) As a gentle introduction to the initial material, we will talk about some basic principles that separate good statistical graphics from bad ones (slides here).
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