4/20/2018

Class Activity - Multiple Logistic Regression - Build your own Notebooks

• See MultipleLogisticRegressionBYON1.Rmd
• See MultipleLogisticRegressionBYON2.Rmd

Chapter 12 - Time Series Analysis

• See SeaIceExer.Rmd - Overview of R Commands needed
• Time series plots
• Cosine Trend Model - A simple linear regression model with a different explantory variable
• Seasonal Means Model - A multiple regression model with week, month, quarter, etc as a categorical predictor
• Combining Models - Linear + Seasonal + Cosine Trend
• Different Ideas
  • Random Walk - position at time t depends on position at time t-1
  • Differences and Lagging
  • Autocorrelation
  • Autocorrelation Plot
  • Stationarity

Please Sections 12.1 and 12.2 for class on Monday.