PPT-Statistics and Regression Analysis

9 1 2 Objectives Understand the basic types of data Conduct basic statistical analyses in Excel Generate descriptive statistics and other analyses using the Analysis ToolPak Use regression analysis to predict future values. Professor William Greene. Stern School of Business. IOMS Department. Department of Economics. Statistics and Data Analysis. Part 25 – Qualitative . Data. Modeling Qualitative Data. A Binary Outcome. in Regression . Principal Components Analysis. Standing Heights and Physical Stature Attributes Among Female Police Officer Applicants. S.Q. . Lafi. and J.B. . Kaneene. (1992). “An Explanation of the Use of Principal Components Analysis to Detect and Correct for . Professor William Greene. Stern School of Business. IOMS Department. Department of Economics. Statistics and Data Analysis. Part . 17 . – The Linear. . Regression . Model. Regression Modeling. for Social. and . Behavioral. . Sciences. Part IV: Causality. Multivariate. . Regression. R . squared. , F test, . Chapter. . 11. Prof. Amine Ouazad. Data: Variables. y. . Box . = First run U.S. box office ($. Professor William Greene. Stern School of Business. IOMS Department . Department of Economics. Statistics and Data Analysis. Part . 10 – Advanced Topics. Advanced topics. Nonlinear Least Squares. Nonlinear Models – ML Estimation . An Application. Dr. Jerrell T. Stracener, . SAE Fellow. Leadership in Engineering. EMIS 7370/5370 STAT 5340 :. . . PROBABILITY AND STATISTICS FOR SCIENTISTS AND ENGINEERS. Systems Engineering Program. Professor William Greene. Stern School of Business. IOMS Department . Department of Economics. Statistics and Data Analysis. Introduction. . Professor William Greene; . Economics . and IOMS Departments. David M. Levine, Baruch College—CUNY. Kathryn A. Szabat, La Salle University. David F. Stephan, Two Bridges Instructional Technology. analytics.davidlevinestatistics.com. DSI . MSMESB session, November 16, 2013. Stat-GB.3302.30, UB.0015.01. Professor William Greene. Stern School of Business. IOMS Department . Department of Economics. Statistical Inference and Regression Analysis. Part 0 - Introduction. . Professor William Greene; Economics and IOMS Departments. Professor William Greene. Stern School of Business. IOMS Department. Department of Economics. Statistics and Data Analysis. Part . 18 . – Regression. Modeling. Linear Regression Models. Reference. No.. Particulars. Slide From – To . 1.. Chapter 1 . Introduction to Business. Statistics. 08 – 21 . 2.. Chapter. 2. Descriptive Statistics: Collection, Processing and Presentation of Data. Example Data Set. Y. X. 5. 20. 6. 23. 7. 27. 8. 33. 8. 31. 9. 35. 10. 43. 5. 19. 6. 25. 7. 29. 8. 31. Estimate two models. Model with y-intercept. Y = a b * X. Regression Statistics. Multiple R. 0.984. Anderson, Sweeney, Williams, . Camm. , Cochran. © 2017 Cengage Learning. Slides by John . Loucks. St. Edwards University. Chapter . 14, . Part B. Simple . Linear Regression. Using the Estimated Regression . Professor William Greene. Stern School of Business. IOMS Department. Department of Economics. Statistics and Data Analysis. Part . 18 . – Regression. Modeling. Linear Regression Models.