Hello Brandon. Great video as usual! Thank you very much for this one. Now (at least for me), the name "adjusted-R" really makes sense. I work on phonetics and during the video I could pause and imagine my own data! Awesome video!!
First, I want to thank you for the wealth of useful knowledge in your videos, I've watched nearly all of your Stats 101 playlist. I was fortunate to have good math teachers up until Trigonometry, where my questions were met with "just memorize it" or "that's just how it is" instead of using relatable examples to show the how things worked or why. If I had you teaching me back then... That said, the only part of this video that's confusing is jumping between the a,b,c, d in the Venn Diagram and the probability notation. I'd have chosen different letters for the Venn 🤐
Hey Brandon! I love your videos, they are very helpful, honestly you explain things better than my prof haha... also, my boyfriend is very curious about which car you drive? He drives a JZA70 Toyota himself (he definitely made me write this) :D
excelente vídeo, realmente very interesting!! one question: is correct to assume that variance/correlatios (aka "r squared") are probabilities? i question that because in set theory, an "overlap" or intersection is when a same symbol o number are in two sets, simultaneously. But dont occurs in correlation. In Correlation, a number of the set A is a "function" of a determined number of set B
Good day, Brandon! The partial correlation is well-understandable. However, I was also tasked to include Tucker's Coefficient of Congruence (First Level) in my discussion. I searched through several references and there are no clear link between partial correlation and Tucker's, only factor analysis and Tucker's. My questions are: 1. Do you have a CZcams video explaining Tucker's? 2. Do we have an SPSS solution that would directly give us partial correlation answers? 3. How do I interject Tucker's after obtaining the partial correlation results of MTCARS example? Thank you and have a great day!
So helpful, amazingly clear, with an easily followed real-world example
I would just love to say thank you very much. Last year your videos helped me pass my first year statistics. you are busy saving lives
Wow, could follow along so easily when you deduced everything mathematically....amazing simplification - art of a genius
I could watch your tutorials whole day, awesome teaching skills (what is quite unique). Best regards
You, sir, are my new hero. Thank you so much!
best channel ...recommend every statistic student to see all his videos
Hello Brandon. Great video as usual! Thank you very much for this one. Now (at least for me), the name "adjusted-R" really makes sense. I work on phonetics and during the video I could pause and imagine my own data! Awesome video!!
You are brilliant.
Best channel for understanding basic satistaics.
First, I want to thank you for the wealth of useful knowledge in your videos, I've watched nearly all of your Stats 101 playlist. I was fortunate to have good math teachers up until Trigonometry, where my questions were met with "just memorize it" or "that's just how it is" instead of using relatable examples to show the how things worked or why. If I had you teaching me back then...
That said, the only part of this video that's confusing is jumping between the a,b,c, d in the Venn Diagram and the probability notation. I'd have chosen different letters for the Venn 🤐
You sir are my hero.. you save me.. I recpect you so much 😁😁😁... I was suffered because of partial correlation but from now I am better !!
I like your new intro
whoever watches ur videos definitely they will subscribe and press like button, its really amazing...................
Love your videos, they have helped me so much. Do you have anything that helps with decision trees?
Hey Brandon! I love your videos, they are very helpful, honestly you explain things better than my prof haha... also, my boyfriend is very curious about which car you drive? He drives a JZA70 Toyota himself (he definitely made me write this) :D
excelente vídeo, realmente very interesting!!
one question: is correct to assume that variance/correlatios (aka "r squared") are probabilities? i question that because in set theory, an "overlap" or intersection is when a same symbol o number are in two sets, simultaneously. But dont occurs in correlation. In Correlation, a number of the set A is a "function" of a determined number of set B
Good day, Brandon!
The partial correlation is well-understandable. However, I was also tasked to include Tucker's Coefficient of Congruence (First Level) in my discussion. I searched through several references and there are no clear link between partial correlation and Tucker's, only factor analysis and Tucker's.
My questions are:
1. Do you have a CZcams video explaining Tucker's?
2. Do we have an SPSS solution that would directly give us partial correlation answers?
3. How do I interject Tucker's after obtaining the partial correlation results of MTCARS example?
Thank you and have a great day!
Excellent
Amazing
how can I contact you Brandon Foltz? Please share .
Can I purposed a topic?
Confusing