У нас вы можете посмотреть бесплатно Statistics with R: Multiple Regression II, Lesson 11 by Courtney Brown или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Lesson 11 : Multiple Regression II. This lecture was given at Emory University in Atlanta, Georgia on 24 October 2013. Multiple regression is further explained. This lecture also begins to explain the R code for Assignment #4 in the course. Regression coefficients, correlation, covariance, and other related statistics and topics are addressed. 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 and data sets can be found here: http://courtneybrown.com/socsci/Stati... 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...