You are a wonderful teacher. I just love the extreme clarity and detail with which you explain even the smallest aspect of the topic. thanks a lot Sir..
You are a wonderful teacher. I just love the extreme clarity and detail with which you explain even the smallest aspect of the topic. Right from its definition, interpretation and significance for the analysis. Thank you so very much.
This has to be one of the best out there on this topic. So detained and easy to follow explanations. Indeed your students are lucky to have you if you're a teacher, that is...
Thanks for your useful comment. I have discussed Multiple Regression analysis in the Part-2 series. Kindly search for: Regression Analysis in SPSS (Part-2). Thanks
Thank you!, Your clarity is amazing! I had one question. In my study I tested the correlation coëfficients before I did the lineair regression. So when my data was non normally distributed I used Spearman correlation. However, if I conduct te univariate (or multivariate) regression I automatically get the Pearson correlation. Is that a problem, or does this not matter, because you look for normallity in the residuals in stead of the variabele?
You are a wonderful teacher. I just love the extreme clarity and detail with which you explain even the smallest aspect of the topic. thanks a lot Sir..
You are a wonderful teacher. I just love the extreme clarity and detail with which you explain even the smallest aspect of the topic. Right from its definition, interpretation and significance for the analysis. Thank you so very much.
This has to be one of the best out there on this topic. So detained and easy to follow explanations. Indeed your students are lucky to have you if you're a teacher, that is...
Detailed*
Wow I love this , this is so insightful, I just have issues analysing Regression in categorical data, especially making the dummy tables
Thanks for your useful comment. Is the issue you have what you can fix or are you asking me for help?
You are second to none
You have made me understand it very well . Thank you
You are phenomenal! thanks for making it easy to understand
You are so welcome!
Amazing and incredible teacher. You are a great teacher with clear explanations. well done
A very inspirational presentation. Thank you so much for making a difference.
I'm learning a lot from you
❤ I love your your next teaching on regression analysis. Thank you very much Sir.
You are most welcome
Thank you so much for the explanation
Excellent way explanation
This is beautiful
Very clear and informative, if you have an explanation about multiple regression model, don't hesitate to share the link with me.
Thanks for your useful comment. I have discussed Multiple Regression analysis in the Part-2 series. Kindly search for: Regression Analysis in SPSS (Part-2). Thanks
Thank you!, Your clarity is amazing! I had one question. In my study I tested the correlation coëfficients before I did the lineair regression. So when my data was non normally distributed I used Spearman correlation. However, if I conduct te univariate (or multivariate) regression I automatically get the Pearson correlation. Is that a problem, or does this not matter, because you look for normallity in the residuals in stead of the variabele?
please i want to ask if your channel is still active or you ain't available again,you have good content
I am finding out how to calculate the relative important index (RII) on his video but I haven't got it yet. Have you seen it?
Very nice presentation, how would you interpret slope and y-intercept for a non-statistician person?
Wow that's great
So during entering data in spss for this regression are we supposed to enter in in percentage or ?
Thanks for reaching out to me. But, please kindly rephrase your question.
thanks sir
👍
👍 good question
Please Sir, how can I get this materials