Statistics with R: Dummy Variables, Lesson 14 by Courtney Brown скачать в хорошем качестве

Statistics with R: Dummy Variables, Lesson 14 by Courtney Brown

Lesson 14 : Dummy Variables Using Multiple Regression. This lecture was given at Emory University in Atlanta, Georgia on 5 November 2013. This lecture discusses the use of both intercept and slope dummy variables when using multiple regression. Tests for the difference between dummy variables is explained using both an F statistic with the Wald procedure as well as with confidence intervals. Note that at the end of this video, an explanation is given of the use of the F-statistic, where the df command is used to get the density function value for the F-statistic. That is the height of the F value, and this is useful for visualizing the shape of the distribution for that value. To get the p-value, one should use the pf command instead of the df command. The pf command gives the probability value. Due to a lack of time at the end of this lecture, this was not totally clear. This is more fully explained here under Method 1: The Wald Procedure in this web page. http://courtneybrown.com/programs/Mul... The textbook used for this course is: Statistical Methods for the Social Sciences (4th Edition), by Alan Agresti and Barbara Finlay, although the course can be used with any relevant textbook. R programs and data sets can be found here: http://www.courtneybrown.com/socsci/S... Individual lessons are also listed below: Lesson 1: Introduction to Data Types    • Statistics with R: Introduction to Data Ty...   Lesson 2: Using R and Rstudio    • Statistics with R: Using R and RStudio, Le...   Lesson 3: Descriptive Statistics and Plotting I, Beginning Assignment #1 - Part 1    • Statistics with R: Descriptive Statistics ...   Lesson 4: Descriptive Statistics and Plotting II, Beginning Assignment #1 - Part 2    • Statistics with R: Multiple Data Sets and ...   Lesson 5: Confidence Intervals    • Statistics with R: Confidence Intervals, L...   Lesson 6: Understanding t-tests and Assignment #2    • Statistics with R: t-tests, Lesson 6 by Co...   Lesson 7: Hypothesis Testing, Crosstabulation Tables, and the Chi-Squared Statistic    • Statistics with R: Hypothesis Testing, Cro...   Lesson 8: Crosstabulation Tables Using R    • Statistics with R: Crosstabulation Tables ...   Lesson 9: Introduction to Regression    • Statistics with R: Regression, Lesson 9 by...   Lesson 10: Multiple Regression I    • Statistics with R: Multiple Regression, Le...   Lesson 11: Multiple Regression II, and Assignment #4    • Statistics with R: Multiple Regression II,...   Lesson 12: Multiple Regression III, and the Remainder of Assignment #4    • Statistics with R: Multiple Regression III...   Lesson 13: Scientific Writing I and Assignment #1 for the Final Project    • Statistics with R: Scientific Writing I, L...   Lesson 14: Dummy Variables with Multiple Regression Using R    • Statistics with R: Dummy Variables, Lesson...   Lesson 15: Writing Hypotheses    • Statistics with R: Writing Hypotheses, Les...   Lesson 16: Multicollinearity I    • Statistics with R: Multicollinearity I, Le...   Lesson 17: Multicollinearity II    • Statistics with R: Multicollinearity II, L...   Lesson 18: Ridge Regression    • Statistics with R: Ridge Regression, Lesso...   Lesson 19: Logistic Regression    • Statistics with R: Logistic Regression, Le...