SYLLABUS1 FOR APPLIED LINEAR STATISTICAL MODELS 26:960:577 Rutgers Business School – Newark and New Brunswick · PHD Management Program Douglas H. Jones, PhD Associate Dean, Academic Affairs OFFICE PHONE: (973) 353-5020 EMAIL: [email protected] WEB: http://www.rci.rutgers.edu/~dhjones OFFICE HOURS: One hour immediately before class OFFICE: Dean's Office MEC Building TEXT Required: Neter, J., Kutner, M. H., Nachtsheim, C. J. & Wasserman, W. (1996). Applied Linear Statistical Models. (4th Ed.) Hardcover - 1408 pages 4th edition (February 2, 1996) McGraw-Hill Higher Education; ISBN: 0256117365 TEXT Recommended: Student Solutions Manual for Use With Applied Linear Regression Models (3rd) and Applied Linear Statistical Model (4th) by John Neter Paperback 4th edition (December 1996) McGraw Hill College Div; ISBN: 0256119872 SOFTWARE Recommended: SPSS Version 10.0 or higher, Chicago IL: SPSS, Inc.2 TEXT Recommended: SPSS Base 10.0 Applications Guide Prentice Hall; ISBN: 0130179019 LECTURE NOTES AND SPSS LESSONS: Available at web site. WEEK LECTURE3 CHAPTER NO./CHAPTER TITLE CHAPTER PROBLEMS4 1 00: Some basic results in probability and statistics 2 01: 01. Linear regression with one independent variable Calculator Maintenance 3 02: 02. Inferences in regression analysis Calculator Maintenance 4 03: 03. Diagnostic and remedial measures Calculator Maintenance 5 04: 04. Simultaneous inferences and other topics in Calculator Maintenance 05: regression analysis (sections 4.1-3) 6 06: 05. Matrix approach to simple linear regression analysis Flavor Deterioration 7 07: 06. Multiple regression, I: regression models Brand Preference Test 1 8 08: 07. Multiple regression, II: extra sum of squares Brand Preference 9 09: 08. Building the regression model I: selection of Kidney Function predictor variables 10 10: 09. Building the regression model II: diagnostics Kidney Function 11 11: 10. Building the regression model III: remedial measures Machine Speed, Calculator Maintenance 12 12: 11. Qualitative predictor variables (sections 11.1-11.4) Calculator Maintenance Test 2 13 13: 16. Analysis of variance Productivity Improvement 14: 17. Analysis of factor-level effects Productivity Improvement 14 15: 19. Two-factor analysis of variance equal sample sizes Programmer Requirements 16: 20. Analysis of factor effects in two-factor studies equal Programmer Requirements sample sizes 15 Final Project Due Grading Homework ______1/3 Test 1______1/6 Test 2______1/3 SMSA PROJECT (Due at Test 2)______1/6
1 Subject to revision April 29, 2018. 2 Available in the computer labs. One-year license from Rutgers (http://mssg.rutgers.edu/license/) is available, contact computing services via email at [email protected], or by phone at (973) 353-1821. SPSS Graduate Pack (http://www.spss.com/spssbi/gradpack/) and SPSS Student Version for Windows (http://www.spss.com/spssbi/student/) may ordered from the campus bookstore with a valid student ID. 3 Read the chapter before the lecture. - Do the chapter problems after the lecture. 4 Problem titles are listed for each chapter to be covered - Do all problems with the designated title for the weekly homework. SMSA PROJECT COVER SHEET (Don’t loose this sheet. Put this as the FIRST page on your assignment package)
Student's Name:______
Student’s ID Number:______Purpose of the SMSA Project This project is based on a large data set from 141 Standard Metropolitan Statistical Areas (SMSA), with measurements on 11 variables. Obviously non-trivial data analysis requires good statistical software. This project requires students to manage large data sets and to obtain important data analysis results through effective use of statistical software. At the same time students appreciate the role of statistical linear models in scientific inquiry. Important Note This project must be completed independently by each student. Doing otherwise risks charges of cheating, and a certain grade of F. Returning this cover sheet with your name acknowledges your compliance with this rule. Project without this cover sheet will not be counted. Grading Each chapter’s worth: 10 points. Physical Report Instructions The report should consist of 8.5x11 inch paper, bound with a heavy rubber band, three ring binders are not allowed. Use tabs with consecutive numbers for each chapter. Fill out the tab information on this page for the chapters that you complete.
CHAPTER
01. Linear Regression with One Independent Variable Project 1.43______( ) 02. Inferences in Regression Analysis Project 2.45______( ) 03. Diagnostic and Remedial Measures Project 3.25______( ) 04. Simultaneous Inferences (Sections 4.1-3) Project 4.26______( ) 06. Multiple Regression, I Project 6.28______( ) 07. Multiple Regression, II Projects 7.56, 7.58______( ) 08. Building the Regression Model I: Selection of Predictor Variables Project 8.24______( ) 09. Building the Regression Model II: Diagnostics Project 9.29______( ) 10. Building the Regression Model III: Remedial Measures Project 10.37______( ) 11. Qualitative Predictor Variables (Sections 11.1-11.4) Project 11.25______( ) 16. Analysis of Variance Project 16.33______( ) 17. Analysis of Factor-Level Effects Project 17.30______( ) 19. Two-Factor Analysis of Variance Equal Sample Sizes Projects 19.36, 19.37______( ) 20. Analysis of Factor Effects in Two-Factor Studies Equal Sample Sizes Project 20.18______( )