Testing the Normality of Residuals in a Regression using SPSS

[@TheFascismforfun]

I would have taken twice as many hours to complete my assignments without your videos. THANK YOU so much!

[@edwardnoon9364]

Thank you for the video! Around 5:05 you note that no point is outside +/- 3. I was just wondering...what is the advise protocol is value are found that are above/below +/-3? Thanks!

[@CheeseKransky12]

Thank you for the video, none of my text books described it in a way that i understood.

[@reggierosario4708]

Very informative and helpful video. Thanks a ton !!

[@shairagadot7011]

Thank you so much! Such a blessing

[@aaronslusher9531]

It would be really awesome if you had this available as a pdf of steps to take.

[@Saraswati313]

If the residuals are not normally distributed then what can we do to normalize the residuals on Independent Variable? What transformation can we do and how? Thank you!

[@sofiagoeben7500]

Thank you for the video! how can I know when to use Shapiro Wilk or Kolmogorov for the residuals? Is it also based on the sample, like if we would conduct a parametric test?

[@CushionKid]

Hi, thank you for the video. If there are points that fall slightly outside -3 to 3 on the x-axis or y-axis when testing for the assumptions of independence and homoscedasticity, what do we do?

[@evasuarthana01]

Thank you very much, it's very clear and informative

[@dores369]

THANK YOU SO MUCH! Saved my life! :)

[@aimanhalim5430]

Thank you sir for sharing such useful knowledge. 😍👍🏼

[@DrGrande]

You're welcome!

[@Christophermwangi-cj4px]

thank you alot ,,the video was very helpful

[@globaljourneywithmancy]

I saw that your predictor values are all in continuous. Can we apply categorized values too as independent? I have my dependent variable continuous and independent ones are mostly categorized and some of them continuous.

[@riase]

How do you correct for non normality?

[@chefdenker704]

Just a little side note. A mean of 0 is not the definition of standardized residuals. Non-standardized residuals also have a mean of 0. Standardized residuals are defined by the raw residuals divided by the standard deviation. Nevertheless, good video.

[@davitagrays6418]

I have done this several times and I still do not have the Shapiro Wilks portion on my table. The only thing that exists is the Kolmogorov-Smirnov. What am I doing wrong?

[@aishathshahyma4110]

Todd Grande, if the normality test is done and it shows not normal, which statistical test should we do? if normality is violated can we still continue with regression? Aish

[@DrGrande]

+Aishath Shahyma Depending of the characteristics of the data, an ordinal regression may work: kzbin.info/www/bejne/n6Cxo2ylbdtopZI, or a data transformation may be possible: kzbin.info/www/bejne/lZSWlYmKh65-b8U.

[@bindiagupta3022]

If residuals are not normally distributed even after data transformation? All other assumptions were met.

[@hechavarr]

Why are you checking normality also on the standardized residuals? I thought by definition the standardized residuals follow a t-student distribution, therefore wouldn't make much sense to check for normality on those, and that is why it's recommended to check normality on the original residuals.

[@langfeng6171]

whether this method can be used to check the abnormal return in the stock market?

[@XDemonboy]

If I use the same data for multiple regressions, do I have to check the residuals for every regression?

[@289993]

Is it alright for me to go ahead and use multiple regression analysis, if normality of residuals is okay? When I test for this, my normality results turn up insignificant (which is great), but when I test for normality on my raw data it turns up very significant (which is not so great). Any help would seriously be appreciated! I am really struggling with this. Thanks so much in advance. x

[@mod_5297]

I would also like to know the answer on that point...

[@rubymichael8413]

Me too!

[@sofiamylona6000]

thank you so much its really valuable information thank you

[@DrGrande]

You are welcome -

[@WOBBLEMELBOURNE]

i love you dr. G

[@XDemonboy]

where did you get the information that not normally distributed data is not relevant for big sample sizes?

[@DrGrande]

Typically large sample sizes do not need to be tested for normality based on the Central Limit Theorem: kzbin.info/www/bejne/m4LHlmukecp4a5I

[@muzzle9999]

What is important in regression is the normality of the residual, not the normality of variables (if you have a reasonably large sample size, for example, hundreds or even thousands).

[@linduchyable]

HOW CAN WE NORMALIZE A VARIABLE USING BLOM'S FORMULA?