This is definitely one of the best tutorial videos I ever watched. I would request to publish more such videos. One thought Hans, the "Year" variable you were putting in the Regression, I might avoid it. "Year" is not a continuous variable and might give a wrong interpretation.

Very helpful! Thanks so much!

This is very helpful. Thanks a bunch buddy.

Love you man for this

Great video - clear explanation! Why would adding the year cause this to be statistically significant? Are there approaches I can take to ensure all appropriate variables are in the model formula?

If I have a low R2 value but my interaction term is significant, can I still consider it to be valid?

I think the only missing step would be to apply clustered errors to account for serial correlation between observations from before and after treatment.

Thanks for the clip. I wonder if you can provide full code along with the link to the file! :)

Hi, Thank you for the amazing tutorial. Could we please access the data to work on it?

Maravilha!

Can we get the data please so we can practice?

thanks teacher please can you share with me this file