Relationships Between Variables: Covariance and Correlation in Business Statistics (Week 7)
Dr. Daniel combines information from throughout the textbook to deliver a concise introduction to all things correlation. The lecture builds from ideas we have studied already (mean, SD, z-scores, scatterplot) and unites the parts into a summary that explains what we learn from correlation and how it relates to the other topics in business statistics. We conclude with Dr. Daniel showing you how to compute correlation and scatterplots in Excel and JASP. All examples use the DogToys2.xlsx (link below)
Lecture date: Tuesday, February 23, 2021
Missouri State University
Lecture recorded at home office
Statistics Instructors: you are free to link to this video and the playlist for your seated or online statistics course or for other educational purposes.
Edited in Camtasia 2020
Visual and audio content from DigitalJuice.com
Music:
248609_theBlues_15_Standard
Source: Digital Juice Royalty Free Music
Link to a Google Drive folder with any files that I use in the videos including spreadsheets, the Bear Handout, and the DogToys2.xlsx dataset. As I add new files, they will appear here, as well.
https://drive.google.com/drive/folder...
To download, hover your cursor over the file icon and a blue download icon will appear. You do not need to request access to a file.