On Monday, we will finish up Chapter 4 of the course packet by talking about interactions between numerical and categorical variables. Topics include: interpreting main effects and interactions in models with both a numerical and a categorical predictor (changing the intercept vs. changing the slope). See TenMileRace.R and LifeExpectancy.R from...
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Week 4 (February 5-7, 2018)
On Monday, we will go over last week’s case study, on estimating a demand curve for milk and choosing an optimal price. Download “milk.R” from the R Scripts tab above.
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Week 3 (January 29 - 31, 2018)
On Monday in class, we will practice fitting nonlinear curves. To prepare, make sure that you have already watched the videos, completed the software walkthroughts, and read the material on nonlinear equations from last week’s post.
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Week 2 (January 22-24, 2018)
On Monday, we will take some time to practice exploratory data analysis and visualization 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 15-17, 2018)
Welcome to STA 371H!
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