#### 01/05/2017

Stat 512: Applied Regression Analysis (Fall 2017)

 Announcements. Check the course related material section for practice problems for the final exam. Final Project is Due Friday, December 8 at 03:00 pm. Final Exam is scheduled for Monday, December 11th at 10:30 am in WTHR-200. Final Project. Peer Evaluation Form. (updated 11/09/2017) Instructions. Data: Australian Data and Story Library, Cleveland Clinic. Housing Prices Data. For educational purposes only. Liver Steatosis Data, Description, Data Dictionary. For educational purposes only. Sleep in Mammals. For educational purposes only. Course Information. Purdue Hotseat. The Statistical Consulting Service in Math-G175 has walk-in SAS office hours free for students. Syllabus. Tentative Schedule. Information on how to order and access the eBook. Checklist, Due Tuesday, August 29th. Lecture notes. Chapters 1 & 2 -: Simple Linear Regression, (slides don't print), hand notes. Chapters 3 & 4 -: Diagnostics and Remedies, (slides don't print), hand notes. Chapters 5 & 6 -: Linear Regression in Matrix Form, (slides don't print), hand notes. Midterm -: Review. Chapters 7 & 8 -: Extra Sum of Squares & Multicollinearity, (slides don't print), hand notes. Quadratic Regression Example: SAS, MS-Excel, Matlab. Chapters 9, 10 & 11 -: Influential Observations and Outliers, (slides don't print), hand notes. Chapter 11 -: Ridge Regression. Chapter 16 -: One-Way Analysis of Variance (ANOVA), (slides don't print), hand notes. Chapter 19 -: Two-Way Analysis of Variance (ANOVA). Chapter 23, 24, 25 -: Three Way ANOVA and Random Effects. Assignments. Homework 7, solution. (updated 12/03/2017). Homework 6, solution. Homework 5, solution. Homework 4, solution. Homework 3, solution. Homework 2, solution. Homework 1, solution. Recorded Lectures. (password protected, available only for the online sections.) Lectures 1 & 2 -: Introduction to SLR part 1, part 2. Introduction to SAS. Lecture 3 -: SLR in SAS. Lecture 4 -: Theoretical model. Lecture 5 -: Inference about the regression parameters. Lecture 6 -: Confidence intervals and hypothesis testing in SAS. Lecture 7 -: ANOVA table for SLR. Lecture 8 -: The power of the test. Lecture 9 -: Estimation of E(Yh) and prediction of Yh(new). Lecture 10 -: Confidence bands and inference about the correlation. Lecture 11 -: Inference about the correlation, diagnostics for SLR. Lecture 12 -: Diagnostics for SLR. Lecture 13 -: Analysis of outliers. Lecture 14 -: Remedial measures, Box-Cox transformation. Lecture 15 -: Joint estimation of B0 & B1, SLR in matrix form. Lecture 16 -: More on regression in matrix form. Lecture 17 -: Multiple linear regression. Lecture 18 -: ANOVA for MLR. Lecture 19 -: Inference for the regression coefficients. Lecture 20 -: Extra Sum of Squares (Partial F-test). Lecture 21 -: Type I SS and Type II SS. Lecture 22 -: Review for Midterm. Lecture 23 -: More on Type I and II SS. Lecture 24 -: Case study: body fat data, partial correlation. Lecture 25 -: Partial correlation, partial plots and multicollinearity. Lecture 26 -: Effects of multicollinearity. Lecture 27 -: Polynomial regression. Lecture 28 -: Interaction model. Lecture 29 -: Variable selection. Lecture 30 -: Model building. Lecture 31 -: Outliers. Lecture 32 -: Influential observations. Lecture 33 -: Weighted regression. Lecture 34 -: Piecewise and Ridge regression I. Lecture 35 -: Ridge regression II, One-Way ANOVA. Lecture 36 -: The cell means & factor effects models for ANOVA. Lecture 37 -: Final project, factor effects model II. Lecture 39 -: Regression approach to ANOVA. Lecture 40 -: Pairwise comparison of means. Lecture 41 -: Homogeneity tests of variance. SAS Files. Data Sets. Course-Related Material. More Practice Problems for Final. (updated 11/26/2017) Practice Final, solution. (updated 11/26/2017) Practice Exam Fall 2013. Practice Midterm 1. Key. Please use stat512spring15 to access the document. t-distribution table. F-distribution table, low alpha values. F-distribution table, high alpha values. Studentized Range Distribution table. SAS Installation Tips for Windows. Introductory SAS Course. SAS Tricks and Tips (by Doug Baumann).       Procrastination

Home

This site was last updated 09/24/2015