Thank you for the video. If you have a multiple regression and you have the observed variable (y) and the predicted variable (yhat), which variable do you use to create the test probability plot? Y or Yhat?
It recommended that the normality of the data should be checked first. In fact, the regression model assumes that the data is normally distributed. Check the regression videos here: www.theopeneducator.com/doe#TOC-Module-8.-Introduction-to-Regression-Analysis . The video on the regression diagnostic will be helpful in regards to your question.
Here is an excerpt from SAS website: "A P-P plot compares the empirical cumulative distribution function of a data set with a specified theoretical cumulative distribution function F(·). A Q-Q plot compares the quantiles of a data distribution with the quantiles of a standardized theoretical distribution from a specified family of distributions. " You can read more here: v8doc.sas.com/sashtml/qc/chap8/sect9.htm Thanks for watching and commenting.
Thank you for the tutorial, this helped me a lot.
Thank you for taking the time explain this exercise. It makes sense now.
No context nothing. Yet so many think this is a great video.
Simple and effective way. Thank You
Thank you.
great explanation
Great job
Thank you for the video. If you have a multiple regression and you have the observed variable (y) and the predicted variable (yhat), which variable do you use to create the test probability plot? Y or Yhat?
It recommended that the normality of the data should be checked first. In fact, the regression model assumes that the data is normally distributed. Check the regression videos here: www.theopeneducator.com/doe#TOC-Module-8.-Introduction-to-Regression-Analysis . The video on the regression diagnostic will be helpful in regards to your question.
Thank you
Great example
Great explanation! I have a question: Is there a way of putting the confidence interval lines in excel, just as minitab does?
techcommunity.microsoft.com/t5/excel/95-confidence-interval-to-bar-graph/m-p/334804
@@TheOpenEducator Thank you!
thank you for this it really helped, but quick question how do i freeze a cell just like you did?
Press F4 in the keyboard
Brilliant Explanation ❤
You will find more here: www.theopeneducator.com/home
can you explain Rank Plotting Position formula? (Rank-0.5)/n and how it considered as probability in Normal distribution formula?
Isn't the content in this video Q-Q plot instead?
Thanks
Great video but what about the Pvalue?
This is a QQ plot, not a PP plot
This is a Q-Q plot, not a P-P
Here is an excerpt from SAS website: "A P-P plot compares the empirical cumulative distribution function of a data set with a specified theoretical cumulative distribution function F(·). A Q-Q plot compares the quantiles of a data distribution with the quantiles of a standardized theoretical distribution from a specified family of distributions.
" You can read more here: v8doc.sas.com/sashtml/qc/chap8/sect9.htm
Thanks for watching and commenting.
@Saketh Dheer yes it is Q-Q
Thank you