I like this post. this post very important. we can get lot of information thought this post and this site. thanks for giving these information, good luck...!!!!
Informatics Outsourcing - Regression Analysis Service
really nice video... can you please let me know if there is an underlying assumption that the distribution should be normal to carry out a t stat test? Or is it applicable to any data set?
@elvizchino The underlying assumption that is tested, is to assure that the residuals are normally distributed. There are some rare circumstances where the distribution of an input variable is so distant from a normal distribution that it may influence the results. In those rare cases the input variable data is transformed and the analysis is conducted with the transformed data. The assumption is the input variables have normally distributed data. T Tests work with continuous data/
The on-line Harvard Business course I am enrolled in for MBA statistics is HORRIBLE and ridiculously florid. Thanks for making it cut, dry, and simple!
@lcarn002 Thank you. Stats should be understandable. The F-Stat and T-Stat videos will help as well. On the website we have eLearning courses and lot of sample courses which will be helpful as well. Just Search Educate Virtually, you will find us. The multiple regression course is still in the process of being converted to e-Learning, but is available live through Webinar on Demand.
Thank you very much. There isn't a lot of great free information out there on this topic but this video has been incredible in explaining multiple regression analysis to me. I really appreciate your kindness in uploading this video.
@seventimesseven7x7 Thank you. We have more tutorials on our website Educate Virtually. Join the website to access the sample courses, then sign up for eLearning! More courses are on the way. Our channel has many more insightful videos as well. Please view Multiple Regression II Multicolinearity to understand what to do when the input Xs are related. Thank you Charlie
@adhiti07 You are welcome. We try to make statistics as understandable as possible. Visit the Educate Virtually website for eLearning and live webinar on demand coaching support. Please join the newsletter. Thank you, Charlie
@rezabladerunner You are welcome. Check out the rest of the videos on the Educate Virtually channel. Upcoming videos will be about collinearity in multiple regression and Process Design for Six Sigma. Visit the Educate Virtually website, eLearning, great sample courses, and sign up for the newsletter! Thank you, Charlie
Excellent video explaining the interpretation, probably the best one I could find so far. Great going, please keep making more videos like this.
SumaPrashanth 1 week ago
Excellent video. Simple language makes it understandable. Helps a lot! Thank you!
enfieldluvr 1 week ago
I like this post. this post very important. we can get lot of information thought this post and this site. thanks for giving these information, good luck...!!!!
Informatics Outsourcing - Regression Analysis Service
kalpanaganeshm 3 weeks ago
The explanation is great! But not so much the materials... Why not projecting a computer-screen as in most other tutorials.
JGCouryo9 1 month ago
@JGCouryo9 Thank you! For that detail take the e Learning course on our website.
educatevirtually 4 weeks ago
Best regression analysis explanation!
sharrison395 1 month ago
@sharrison395 Glad you liked the video. There is more at the Educate Virtually website. Sign up for an eLearning course today! Thanks!
educatevirtually 1 month ago
Very well explained. Thanks. Need to check if you have statistics tutorials in SAS Base on your website
sachin01663 2 months ago
thanks!!!
mvpjesuslovesu 3 months ago
Clear explanations in "earth language" -- as I call it to my patients and students!
johnincincinnati 3 months ago 3
@johnincincinnati Our eLearning courses feature earth language. Sign up for the newsletter on the website, EducateVirtually. Discounts on courses.
educatevirtually 3 months ago
Straight talk. Rare in its effectiveness.
CSRealist 3 months ago
very helpful!
Nickiller6969 3 months ago
Very nice video. Makes the life simple.
ankushsi 4 months ago
really nice video... can you please let me know if there is an underlying assumption that the distribution should be normal to carry out a t stat test? Or is it applicable to any data set?
elvizchino 5 months ago
@elvizchino The underlying assumption that is tested, is to assure that the residuals are normally distributed. There are some rare circumstances where the distribution of an input variable is so distant from a normal distribution that it may influence the results. In those rare cases the input variable data is transformed and the analysis is conducted with the transformed data. The assumption is the input variables have normally distributed data. T Tests work with continuous data/
educatevirtually 5 months ago
Wow, thanks so much.......
abes45 8 months ago
The on-line Harvard Business course I am enrolled in for MBA statistics is HORRIBLE and ridiculously florid. Thanks for making it cut, dry, and simple!
lcarn002 8 months ago
@lcarn002 Thank you. Stats should be understandable. The F-Stat and T-Stat videos will help as well. On the website we have eLearning courses and lot of sample courses which will be helpful as well. Just Search Educate Virtually, you will find us. The multiple regression course is still in the process of being converted to e-Learning, but is available live through Webinar on Demand.
educatevirtually 8 months ago
and now i can apply this in my research...
shabiz12345 10 months ago
Excellent presentation!
nhatuankt 10 months ago
thanks, that cleared up alot
MrCandyland8 10 months ago
Thank you very much. There isn't a lot of great free information out there on this topic but this video has been incredible in explaining multiple regression analysis to me. I really appreciate your kindness in uploading this video.
cdashkid123 10 months ago
thank you so much for the presentation. It is very nice.
1alahmadi1 10 months ago
that was a beautiful little presentation. thank you
ashman900 10 months ago
Very nice, thank you
MrJacaranda 11 months ago
Thank you for makng this video! =]
pierretai 11 months ago
thank you. it's much appreciated that you guys share knowledge!
I'm going to ace my presentation haha
p0sta 1 year ago
@p0sta You are welcome. If you really want to expand your knowledge take some of our e-learning courses at the Educate Virtually website. Charlie
educatevirtually 1 year ago
omgee... wish i had seen this two weeks ago lol... will help wonders on my final tho... thx
mlbeauford 1 year ago 2
@mlbeauford You are welcome! Visit the Educate Virtually website and take some e-learning courses. Charlie
educatevirtually 1 year ago
thanks for helping me make since of my readings on multiple regression this week :-)
seventimesseven7x7 1 year ago 2
@seventimesseven7x7 Thank you. We have more tutorials on our website Educate Virtually. Join the website to access the sample courses, then sign up for eLearning! More courses are on the way. Our channel has many more insightful videos as well. Please view Multiple Regression II Multicolinearity to understand what to do when the input Xs are related. Thank you Charlie
educatevirtually 1 year ago
VERY nice explanation. I've stop searching for Multiple Regression Analysis after I watched this video. thanks!
adhiti07 1 year ago 5
@adhiti07 You are welcome. We try to make statistics as understandable as possible. Visit the Educate Virtually website for eLearning and live webinar on demand coaching support. Please join the newsletter. Thank you, Charlie
educatevirtually 1 year ago
Very clear and perfectly paced. One of the very few explanations that actually helped.
THANK YOU
rezabladerunner 1 year ago 6
@rezabladerunner You are welcome. Check out the rest of the videos on the Educate Virtually channel. Upcoming videos will be about collinearity in multiple regression and Process Design for Six Sigma. Visit the Educate Virtually website, eLearning, great sample courses, and sign up for the newsletter! Thank you, Charlie
educatevirtually 1 year ago