Bivariate Analysis in Statistic and with R Playlist | Statistics for Beginners | MarinStatsLectures
20 videos • 17,589 views • by MarinStatsLectures-R Programming & Statistics Bivariate is just another word for two variables. Bivariate analysis is one of the simplest forms of statistical analysis. The bivariate analysis involves the analysis of two variables, X: independent/explanatory/outcome variable and Y: dependent/outcome variable, to determine the relationship between them. bivariate analysis explores how the dependent (“outcome”) variable depends or is explained by the independent (“explanatory”) variable or it explores the association between the two variables without any cause and effect relationship. When dealing with bivariate data, most often we know what our outcome (dependent) variable is and what our explanatory (independent) variable is but sometimes there is no natural variable to define as the outcome and as the explanatory (for example examining the relationship between individual's IQs and EQs, where there is no natural variable to define as the outcome and as the explanatory) In this series, we’ve divided methods of bivariate analysis based on the type of dependent/ outcome (Y) variable and the type of independent /explanatory (X) variable. That is, deciding whether our X and Y variables are numeric (quantitative, continuous) or categorical (qualitative, factor), can help us decide which types of plots (graphical summaries) and analyses methods would be appropriate. ►► Watch More: ► Statistics Course for Data Science https://bit.ly/2SQOxDH ►R Course for Beginners: https://bit.ly/1A1Pixc ►Getting Started with R using R Studio (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R using R Studio (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R using R Studio (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R using R Studio (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R using R Studio (Series 5): https://bit.ly/1iytAtm ►ANOVA Statistics and ANOVA with R using R Studio : https://bit.ly/2zBwjgL ►Hypothesis Testing Videos: https://bit.ly/2Ff3J9e ►Linear Regression Statistics and Linear Regression with R : https://bit.ly/2z8fXg1 Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook: https://goo.gl/qYQavS Twitter: https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn! #statistics #rprogramming