Testing the Normality of Residuals in a Regression using SPSS 

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

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!

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

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?

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!

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?

Thank you so much! Such a blessing

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.

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

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.

Very informative and helpful video. Thanks a ton !!

thank you alot ,,the video was very helpful

How do you correct for non normality?

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

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?

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.

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

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

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

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

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

i love you dr. G

THANK YOU SO MUCH! Saved my life! :)

thank you so much its really valuable information thank you

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

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