Correlation Scatterplots - Graphing Correlation Data (13-4)

Before we calculate a correlation to see if two variables are linearly related, it is a good idea to look at a picture of our data. We do this using a scatterplot. A scatterplot is used to graphically display correlational data. The relationship between the variables is depicted with dots called data points. Each data point is formed by a pair of X and Y scores. A “regression line” can be added to the scatterplot to better visualize the relationship between variables.
This video teaches the following concepts and techniques:
Scatterplots for graphing correlational data
Link to a Google Drive folder with all of the files that I use in the videos including the Effect Size Calculator for t Tests and datasets. As I add new files, they will appear here, as well.
drive.google.com/drive/folder...

[@zioncrichlow8207]

Loved this video ❤

[@ethiodiversity-1184]

wonderful lesson

[@astondylahamazta6016]

good one u got there . Nice job

[@livingalifeofadventure8959]

Greetings sir. How can we interpret and compare the grouped scatter plot for both female and male even though they show similar negatively correlate? I have noticed they have different R squared.

[@ResearchByDesign]

Good question...you can't interpret and compare the scatterplots, but you can interpret and compare the coefficients; however, you cannot compare them directly. Check out the correlation spreadsheet in the class Google folder (link in description) or email me through the channel and I will send you a copy. You convert Pearson's r to Fisher's Z, then do a t test. Cool stuff.

[@livingalifeofadventure8959]

@@ResearchByDesign Sure, i would like to have it, please send it to [e-mail] Thank you very much.