F 2 LAB Memo help – – Spring Break Unit Three Bivariate Linear and Logistic Regression – M 12 Linear regression and correlation, AF 9 – W 14 Linear regression, parameter estimation, AF 9, Allison 5 – F 16 LAB Linear regression in Stata Bivariate Memo Due 9:00AM – – M 19 Linear regression, model fit, AF 9 – W 21 Linear regression, model assumptions and violations, AF 9, Allison 6 – F 23 LAB Linear regression in Stata Ex 4 due 9:00AM – – M 26 Linear probability model, AF 15.1 – Unit Four Multiple Regression – W 28 Correlation, causation, and confounding, AF 10 – F 30 LAB Controlling for a variable in PS 3 due 9:00AM – – April M 2 Statistical control and types of multivariate relationships, AF 10 – W 4 Multiple linear regression, AF 11 (skip 11.7), Allison 1 – F 6 holiday no class – – M 9 Multiple linear regression, AF 11 (skip 11.7), Allison 2 – W 11 Regression with categorical predictors, interactions, and non-linearities, AF 13.1-13.4, – AF 14.5, Allison 8 Ex 5 due 9:00AM F 13 LAB Example of regressions for memo – – M 16 Applied regression, direction of bias, Allison 3 – W 18 Examples of bias in linear and logistic regression PS 4 due 9:00AM – F 20 LAB Memo help session – – M 23 TBA Multiple regression memo due 11:59PM – W 25 Review – Final exam NOON Saturday April 28 – Covers Material from Units Three and Four, but builds on material from entire course
F 2 – LAB – Memo help Spring Break Unit Three – Bivariate Linear and Logistic Regression M 12 – Linear regression and correlation, AF 9 W 14 – Linear regression, parameter estimation, AF 9, Allison 5 F 16 – LAB – Linear regression in Stata Bivariate Memo Due 9:00AM M 19 – Linear regression, model fit, AF 9 W 21 – Linear regression, model assumptions and violations, AF 9, Allison 6 F 23 – LAB – Linear regression in Stata Ex 4 due 9:00AM M 26 – Linear probability model, AF 15.1 Unit Four – Multiple Regression W 28 – Correlation, causation, and confounding, AF 10 F 30 – LAB – Controlling for a variable in PS 3 due 9:00AM April M 2 – Statistical control and types of multivariate relationships, AF 10 W 4 – Multiple linear regression, AF 11 (skip 11.7), Allison 1 F 6 – holiday – no class M 9 – Multiple linear regression, AF 11 (skip 11.7), Allison 2 W 11 – Regression with categorical predictors, interactions, and non-linearities, AF 13.1-13.4, AF 14.5, Allison 8 Ex 5 due 9:00AM F 13 – LAB – Example of regressions for memo M 16 – Applied regression, direction of bias, Allison 3 W 18 – Examples of bias in linear and logistic regression PS 4 due 9:00AM F 20 – LAB – Memo help session M 23 – TBA Multiple regression memo due 11:59PM W 25 – Review Final exam – NOON Saturday April 28 Covers Material from Units Three and Four, but builds on material from entire course
2012_spring_PLCY460_syllabus.docx