SPSS (17): Testing Heteroscedasticity in SPSS | Breusch-Pagan test

Heteroscedasticity/Homoscedasticity in SPSS
This video shows heteroscedasticity testing in SPSS both graphically and statistically through the Breusch-Pagan test.
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[@FilenUp1]

I would like to thank the creator of the video and all of the people who had a courage to raise a discussion in the comments! That was very helpful!

[@ashalaiju5525]

Very helpful and we would like more such explanations. Thank you Sir

[@spindarella4353]

SUCH a helpful video. Thank you!!

[@dipakshidas5410]

Very helpful video n lucidly explained. Thank you Sir!!
Can you please suggest how to solve/proceed when we have heteroscedasticity problem in the data?

[@christophermausolff6457]

Really appreciate this video. Thank you very much!!

[@ashalaiju5525]

This video saved me. Thank you.

[@dsavkay]

Excellent!

[@imranullahmateen7156]

Thanks a lot, great effort, and easily understandable.

[@RESEARCHHUB]

Thanks you, we have a free course on SPSS, see researchhub.org/course/spss-for-beginners/

[@fionncliffe5706]

Very helpful, thank you!!

[@DespiSteffi]

I'd like to know what was the purpose saving the unstandardized predicted values. I didn't see them used in the second regression so, what should we do with them? Could anyone help me with this information? thank you

[@FromRamlose]

Is there anywhere I can cite this way of checking homoscedasticity?

[@Elyzhajoyce1]

THANK YOU

[@Artyom109Zinchenko]

Why did you save the unstandardised predicted values (PRE_1), if we never used this variable?

[@RESEARCHHUB]

Although we did not use the unstandardised predicted values (PRE_1) for Heteroscedasticity testing, from a regression point of view it shows the predicted value of the dependent variable for the particular observation. For example, for the 1st observation, while the actual sales value is 3454, based on our regression estimates the sales value for the observation is 2879. And the residual is just the difference between these two values, that is, 575 (3454-2879). I hope, now you see the use of the predicted values.

[@Artyom109Zinchenko]

@@RESEARCHHUB Thanks a lot for the prompt and helpful reply 👍

[@RESEARCHHUB]

@@Artyom109Zinchenko You may find this video interesting to learn more about the predicted value calculation. See th-cam.com/video/3MmMYZTLkSo/w-d-xo.html

[@amnagul1019]

Sir how we will interpret this in thesis, in terms of probability and chi test

[@DrHanjabamBarunSharma]

great

[@aydanuraydin9762]

Is there any way that I can cite this way of checking homoscedasticity?

[@RESEARCHHUB]

Yes, SPSS Explained book by Charlotte Brownlow, Isabella McMurray, and Perry R Hinton

[@danielvellafondacaro792]

@@RESEARCHHUB I have checked the Hinton, McMurray, Brownlow (2014) book, but cannot seem to find this analogue. Would you kindly direct me as ti where I can find it please? Thanks

[@武蔵ペロー]

@@danielvellafondacaro792 I had the same question but I found an article which explained this dialogue. I put the citation below so you can have a look.
Astivia, O. L. O., & Zumbo, B. D. (2019). Heteroskedasticity in multiple regression analysis

[@johnmichaelriverosgavilane2078]

great