In this video, I explain how to conduct a multivariable linear regression in SPSS. I walk through the key assumptions that need to be checked, most critically, heteroskedasticity. I also show you how to interpret all the results including standardized and unstandardized beta coefficients. I also discuss how you can avoid Type 1 Error (False Positives) by using a Bonferroni Correction.
This SPSS tutorial series is designed to teach you the basics of how to analyze and interpret the results of data using SPSS. I will cover everything from the very basics of the main windows within SPSS, to manipulating data, to running and interpreting meaningful analyses like t-tests, ANOVA, regression, and many more, and visualizing results.
The data file used in this video can be found here: [ Ссылка ]
Video tutorial and walkthrough of the data file used in this video: [ Ссылка ]
REGRESSION VIDEO about basic Single Variable Linear Regression: [ Ссылка ]
REGRESSION VIDEO about Multivariable Linear Regression: [ Ссылка ]
REGRESSION VIDEO about Continuous by Categorical Interactions with Linear Regression: [ Ссылка ]
REGRESSION VIDEO about Continuous by Continuous Interactions with Linear Regression: [ Ссылка ]
Video about computing variables in SPSS: [ Ссылка ]
Video about descriptive statistics in SPSS: [ Ссылка ]
Playlist of video covering INTUITION for statistics and data science: [ Ссылка ]
All the SPSS tutorial videos are in this playlist: [ Ссылка ]
Learn more about who I am and why I'm doing this here: [ Ссылка ]
Follow me at:
LinkedIn: [ Ссылка ]
Patreon: [ Ссылка ]
Website: [ Ссылка ]
Equipment Used for Filming:
Nikon D7100: [ Ссылка ]
Softlight: [ Ссылка ]
Yeti Microphone: [ Ссылка ]
iPad for Teleprompter: [ Ссылка ]
Camtasia for Video Editing: [ Ссылка ]
