Hah! I loved the n-1 reveal on car type dummy variables. As you were describing the initial 3 I was yelling at the screen "but these are mutually dependent - they break the assumptions!". I laughed at myself when you got to the n-1 reveal 🤣
Both Chicago and NY have two coefficients, but are under one variable "Place". So what does the coefficients mean when inserted into the multiple regression equation? I'm not sure if my question makes sense TT
Hi ! Thank you for the video it was very interesting and helpfull. I have a question, how many characteristics we can use for one variable ? Is there a limit ? Thank you !
Thanks. How about if we have 2 categorical variables with 2 levels, and are also interested in an interaction term? (i.e. like a 2x2 ANOVA). What is the process for setting the dummy variables for the interaction term also?
I am not quite sure, but would say it is done normally. So for both variables simply the categories 0 and 1 generate and for the interaction both multiply, then only 1 comes out if both are one!
@@datatab Thanks for your reply 😊. Yes that works. The problem comes with multi-collinearity after I add the (k-1) dummy variables of the interaction term into a model with the main effects. I can only add 1 level of the interaction term into the model without multi-collinearity problems, not (k-1).
if there are three places of residence why do we only use two of them? Currently working on a MLR project and am struggling to understand which one to not include as I am using 4 indicator variables.
so just a quick question: if my dependent variable (y) is categorical i must perform logistic regression, however when my independent variable (x) is categorical i must create dummy variables. is it correct ? sometimes i get confused by this. thanks! greetings from brazil
@@datatab I need to make 2 box plots. 1 with systolic blood pressure for obesity, 1 for systolic blood pressure without obesity. I have no idea how to determine obesity with bmi of 30 or more.
If you like, please find our e-Book here: datatab.net/statistics-book 😎
Thank you. You provided the best explanation of "Dummy Variable".
Hah! I loved the n-1 reveal on car type dummy variables. As you were describing the initial 3 I was yelling at the screen "but these are mutually dependent - they break the assumptions!". I laughed at myself when you got to the n-1 reveal 🤣
thanks a lot, it was useful to deal with non-numerical variables
Glad it helped!
Thanks so much! May Allah Almighty reward you with the best
Thank you too for your comment! Regards Hannah
Thank you very much! Really helpful content!
Hello Rodrigo, many thanks for your Feedback! Cheers Hannah & Mathias
Both Chicago and NY have two coefficients, but are under one variable "Place". So what does the coefficients mean when inserted into the multiple regression equation?
I'm not sure if my question makes sense TT
This was so helpful, thank you!
Glad it was helpful! Regards Hannah
German for sure. Loved it!!!! :D
No Austrian : ) Many thanks for you nice feedback, Regards Hannah
apart from goodness of presentation i really loved the accent aswell
Many thanks : ) Regads Hannah
@@datatab keep up the good work Hannah
@@ASAM90 Many thanks : )
Hi ! Thank you for the video it was very interesting and helpfull. I have a question, how many characteristics we can use for one variable ? Is there a limit ? Thank you !
You have a friendly speaking style. Slow and Cute. Very helpful tutorial.
Thank you! 😊
Thanks. How about if we have 2 categorical variables with 2 levels, and are also interested in an interaction term? (i.e. like a 2x2 ANOVA). What is the process for setting the dummy variables for the interaction term also?
I am not quite sure, but would say it is done normally. So for both variables simply the categories 0 and 1 generate and for the interaction both multiply, then only 1 comes out if both are one!
@@datatab Thanks for your reply 😊. Yes that works. The problem comes with multi-collinearity after I add the (k-1) dummy variables of the interaction term into a model with the main effects. I can only add 1 level of the interaction term into the model without multi-collinearity problems, not (k-1).
if there are three places of residence why do we only use two of them? Currently working on a MLR project and am struggling to understand which one to not include as I am using 4 indicator variables.
How to choose dependent and independent variable?
How do we interpret coefficients of dummy variables with more than 2 values?
If True == 1 in coding, shouldn't yes be 1 not 0?
thank you!
Can you perform a bivariate regression with only one dummy variable? How will this look like?
Yes, for example, whether gender has an impact on salary! Then however the same results come out as if one simply computes a t test!
so just a quick question: if my dependent variable (y) is categorical i must perform logistic regression, however when my independent variable (x) is categorical i must create dummy variables.
is it correct ? sometimes i get confused by this. thanks! greetings from brazil
Yes this is correct!!! Regards Hannah : ) Greetings from Austria
@@datatab I need to make 2 box plots. 1 with systolic blood pressure for obesity, 1 for systolic blood pressure without obesity. I have no idea how to determine obesity with bmi of 30 or more.
@@datatab But what should be done when both dependent and independent variables are categorical?
@@aparajitaswami5509logistic regression
kenal dr nizam ko?
Sorry, understand only german or english : )
👍
Thanks!
Ze reall germanzz
Where are you from?
Actually Austria : )
HAHAHAHA this is the strongest German accent I've ever heard I love it
Yes Austrian accent is very strong. I still remeber Brad Pitt having Austrian accent in 7 years in Tibet
1st
2nd : )
3rd
4th
5th
@@_Anonymous_9 6th 9ing on yo mamma