I watched many other videos on Regression but didn't understand the concept and application in Minitab. But you explained it very crisp and clear. Thank you so much
@@mohitsharma34 Sir, it will be really helpful if you can share any video on balance score card, team behavior, probability, T test, F test and poly regression
Thank you Sir. Does VIF value has to be 1 by default and any predictor showing values >1 indicates multi-collinearity? Another point, can I use p values under the Analysis of Variance section to select the predictors that a significantly contributing to the model? E.g. predictors with p-values less than 0.05 will be selected because they are statistically significant.
Sorry for asking this question : Null hypothesis: there is a statistically signification relationship between the variables. Alternate hypothesis: there is no statistically significant relationship between the variables. P value is less than alpha. So we reject the null hypothesis .....right ? We seem to be doing something different here ....please clarify
have a basic doubt. I had learnt in some training sessions that regression is done only when both dependent & independent variables are ' Continuous" data. I see you have also taken discreet data for regression analysis... Pls clarify..Thanks
Nice way of explaining the complicated concepts in a simple way..... Thank you, Mohit !
Thanks 😊
I watched many other videos on Regression but didn't understand the concept and application in Minitab. But you explained it very crisp and clear. Thank you so much
Thanks 🙏
Great video Mohit!
Much thanks 🙏
Great learning 👍
Thanks 😊
Great video 👍
Thanks!
Great video! Simple and straightforward. Thank you so much! I was wondering if you have a video explaining R squares and T-values. Thanks!
Thanks 😊
Thanks mohit i will try to use the same in my current project
DB Tech 👍
Great video. Kindly clarify if discrete data type can be considered for Regression because no of hold is discrete
In simple linear regression it is not considered but when we are testing multiple variables then it can be considered
Superb
Thanks Tej !!
@@mohitsharma34 Sir, it will be really helpful if you can share any video on balance score card, team behavior, probability, T test, F test and poly regression
Thnk u so much sir
👍
very well explained video papa!
Thanks my hero 😊
Thank you Sir.
Does VIF value has to be 1 by default and any predictor showing values >1 indicates multi-collinearity?
Another point, can I use p values under the Analysis of Variance section to select the predictors that a significantly contributing to the model? E.g. predictors with p-values less than 0.05 will be selected because they are statistically significant.
👍 yes
Hello sir, can i know where do we insert the control variables when doing the multiple linear regression using minitab?
Sorry for asking this question :
Null hypothesis: there is a statistically signification relationship between the variables.
Alternate hypothesis: there is no statistically significant relationship between the variables.
P value is less than alpha. So we reject the null hypothesis .....right ?
We seem to be doing something different here ....please clarify
Your null and alternate hypotheses are not right. Null Hypothesis will be No relationship
Please explain the difference b/w binary, ordinal & nominal data?
Watch my video on basic statistics.
have a basic doubt. I had learnt in some training sessions that regression is done only when both dependent & independent variables are ' Continuous" data. I see you have also taken discreet data for regression analysis... Pls clarify..Thanks
Very valid question, Anu! I am also wondering about the same.