Multiple Regression - Interpreting coefficients

[@bakaduo2978]

Thank you so much Dr Nick, this was a lot easier to understand compared to what my lecturer was trying to explain

[@DrNic]

I’m so glad you found it useful.

[@chanchiravar]

This was very helpful. Your explanations are incredibly easy to follow and understand!

[@DrNic]

Glad it was helpful!

[@RichardGutierrez-r6u]

so good!!

[@DrNic]

Thanks - it's built on years of explaining it to students

[@ankitctc]

Thank you Dr. Nic

[@DrNic]

Happy to help

[@natureofbangla3731]

Mam what should be the value of coefficient in a regression to fit the model and what should be the value of j statistics

[@DrNic]

Sorry I don't understand the question

[@عموگرجی]

Thanks Dr. Nic! 🌹

[@DrNic]

Most welcome

[@bhelayves-martialkoffi2279]

Hello thank you for this useful video. My question is, what about the interpretation of the coefficient of a dummy variable? thank you.

[@DrNic]

That's a good question. Say you have a dummy variable for a car having parking assist. Cars with parking assist are coded with a 1, and those without have a zero. Say the coefficient is $2300. That would mean that having parking assist adds $2300 to the price, all other things being the same.

[@ngee4925]

Thanks Dr. Nic! Very cool!

[@DrNic]

Glad you liked it!

[@siddharthabaidya4987]

Beautiful

[@Victual88]

Thanks! 😁

[@DrNic]

Welcome!

[@77saho]

❤

[@DrNic]

Thanks

[@wedrecdets]

I love your videos, but I am disappointed in the correlation vs. causation example of the relationship between crime rate and money spent on policing. This is an area of continued conversation and study, because yes, although higher crime rates may be responded to with higher police budgets, more money spent on policing may mean less money spent in other areas/initiatives (education, social services) that may affect the crime rate. So the flippant large "WRONG!" and "This makes no sense" was very disappointing.

[@DrNic]

Sorry you don't like it.