Multiple regression - Checking Assumptions - for Beginners

In this video, I show you how to check multiple regression assumptions in a few steps using IBM SPSS.

I used materials from the following books for this video:

b. Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th Edition). London: Sage Publications Ltd. ISBN-13: 978-1446249185

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[ellaluzpicavet]

I came here for a good explanation of the assumptions of multiple regression, and left with statistics wisdom. Plus the long lost Andy Field table which I couldn't for the life of me find in the book. All in all great video

[xxmyohmyxx]

This was so So helpful - having each discussed individually but all in the same place with a clear explanation of what each accomplishes. And the way you have the slide set up (using colored text and boxes) is helpful as well. Thank you so much for posting! I will be viewing many more of your videos.

[katieglover]

Thank you for helping me with my dissertation analysis!
Big help, now I've got to figure out how to run the analysis :D

[ekwosam]

Thanks for the video especially for the remedial actions included to avoid assumptions violations and summing everything up nicely. Keep up the good work.. 

[JackReynoldsMath]

One of the best videos on multi regression. Thanks so much. Great job!

[emmasplantz]

This was SO helpful wow. I've been trying to find a video that explains assumption testing clearly and yours is spot on. Thanks so much!

[Chocorett]

this is one of the best videos to check for assumptions. Thank you so much!

[MoHAbdi-fxuc]

Very clear explanations, well done and many thanks for the effortless

[weislearners]

You're welcome.

Thank you for your kind words.

[saichaithrik]

thank u sir this video helped me a lot. u explained very good and ur slides are so helpful once again thank u sir

[JosePerez-dgis]

Very well explained, thank you very much.

[subbit]

I am confused about how to tell the difference when analyzing the independence and linearity? Both times it is said that the points should be scattered without a clear pattern. Am I misunderstanding something here? What is the exact difference in graphically checking for those two assumptions?

[rafsunmashraky]

Excellent Video... Thank You very much...

[alicepailhes]

Hello, does anyone know how to test for linearity and homoscedascticity when you have a binary independent variable on SPSS?

[mildredaviles]

thank you. your video is very helpful.

[amyhall]

I feel like I'm learning stats from Owen Wilson

[FekaduM]

Do you have the same explanation using EXCEL? Thanks

[ilias]

Thank you very much for your amazing video. Sorry for asking but I cannot find a simple answer to the following problem. I want to check if 2 correlation coefficients in a multiple regression (1 analysis, 1 sample) are significantly different between them. Do you know if there is an etc. online formula or an other way to find out?
Thank you in advance.

[husseinel-sayed]

Hi.. Thanks for an informative video. I have a question though. I am studying the relationship between 13 variables (one indpendent and 12 dependents). Now each variable is measured using 4 or 5 items on a questionnaire. So in total I have 61 indicators or items. How would I go about checking the linearity assumption because the DV consists of 5 items and IV's have 56 items. Appreciate your feedback. Thanks.

[mutindafestus]

this is a good video
i also have special problem of a simple linear regression
where my data has plenty of outliers

i identified the outliers +high leverage points and removed them on reruning the regression, a new set of outliers appears
i tried this thrice and every time i remove outliers a new set emerge i am not sure how much i should remove