Thank you so much Sir. For Minitab v19, we have section called analysis of variance. Are you saying we should eliminate predictors with p-values greater than 0.05, because they are not significantly contributing to the model development?
Thank you, this is really helpful. What does it mean if the goodness of fit tests fail? Do we conclude that the variables with less than .05 pvalue are factors but we cannot create a regression equation to predict the probability?
Hi thanks for the useful Tutorial , Please i need a tips to Arranging the binary data , if i used to make a simple survey questionnaire than how can arrange the data with respect to the independent variable
Thank you! It´s very helpful! My model showed significant p-values for each input variable, however, there is the following msg: "* NOTE * No goodness of fit test performed". What does it mean?
A Goodness of Fit Test is a hypothesis test. It helps to check whether the data fits the distribution you are approximating to. This option used to be available in the Results area. I am not sure if the latest version has it in the same place. With the advent of Python, I haven't used Minitab in a long time.
Hi - my input variables are a variety of binary and continous data - can i still use binary logistic regression or should i use one of the other two options?
I haven't used this type of regression yet. I have a case where the variable I want to predict has 4 categories "low, moderate, severe, danger" can I still use logistic regression or is there another more accurate way to do so? Thanks
Maria Belen Segovia Yes, you will still use Logistic Regression, although it sounds like it won't be Binary. You will have to consider the other options (Nominal and Ordinal).
@YaneSpace, I would love to help you out but that data belonged to a customer. Unfortunately I am not allowed to share it. I can make up some data though. Give me your email address if you would like me to send it to you.
![Logistic Regression [Simply explained]](http://i.ytimg.com/vi/C5268D9t9Ak/mqdefault.jpg)
![Logistic Regression [Simply explained]](/img/tr.png)
![Kodak Black - Sharp Vibes [Official Music Video]](http://i.ytimg.com/vi/oEV0OoLJeIs/mqdefault.jpg)
Very clear explanation and summary
Thank you for making such a helpful video!
Good summary. Thanks for posting it.
Very nicely explained.
Thanks for making this.
Yes. You can still use binary logistic regression.
Thank you so much Sir.
For Minitab v19, we have section called analysis of variance.
Are you saying we should eliminate predictors with p-values greater than 0.05, because they are not significantly contributing to the model development?
Thanks SO MUCH!
Thank you, this is really helpful. What does it mean if the goodness of fit tests fail? Do we conclude that the variables with less than .05 pvalue are factors but we cannot create a regression equation to predict the probability?
good one
Hi thanks for the useful Tutorial , Please i need a tips to Arranging the binary data , if i used to make a simple survey questionnaire than how can arrange the data with respect to the independent variable
Thank you! It´s very helpful! My model showed significant p-values for each input variable, however, there is the following msg: "* NOTE * No goodness of fit test performed". What does it mean?
A Goodness of Fit Test is a hypothesis test. It helps to check whether the data fits the distribution you are approximating to. This option used to be available in the Results area. I am not sure if the latest version has it in the same place. With the advent of Python, I haven't used Minitab in a long time.
Hi - my input variables are a variety of binary and continous data - can i still use binary logistic regression or should i use one of the other two options?
I haven't used this type of regression yet. I have a case where the variable I want to predict has 4 categories "low, moderate, severe, danger" can I still use logistic regression or is there another more accurate way to do so? Thanks
Maria Belen Segovia Yes, you will still use Logistic Regression, although it sounds like it won't be Binary. You will have to consider the other options (Nominal and Ordinal).
How about BLR in matlab?
When two columns are the same this is NOT covariance. This is multicollinearity.
I am trying to make it myself.... Can you please add the Excel data, so I can do it, please?
please tell me the Mini Lab Version
@YaneSpace, I would love to help you out but that data belonged to a customer. Unfortunately I am not allowed to share it. I can make up some data though. Give me your email address if you would like me to send it to you.