this video is great! but i have a little difficulty because there is no auto-generated english subtitle (english is not my mother language so im bad at listening but a little good at reading), but rather vietnamese
may I ask, are all correlation association always reciprocal? from the example you mentioned, can the response variable be an explanatory variable, and vice versa? I ask because it's a bit confusing to differentiate "correlation association" and "regression relationship"
Hey! In a sense yes... if we switched the response and the explanatory variable, the strength of the association will appear to be similar, BUT by putting the explanatory variable on the y axis and the response variable on your x axis, the information that the graph presents to your readers would be communicated incorrectly. For example, if you would like your graph to show that the number of miles walked may affect weight, by switching the axes, you would be saying that weight may affect the number of miles walked (perhaps true, but not the message I set out to communicate)
Your style is clear and concise. Thank you for creating this video!
wow thanks it was simple and clear ...... i don't what wrong with our lectures they always use a long way
Glad it helped! :)
thank you very much. your explanation is concise and very clear.
You're welcome! Thank you. :)
U made it simple and easy to understand 😊 tq
You are welcome 😊
it's so clear and easy to understand. Thanks
Glad it was helpful! You're welcome :)
Yes! This was short and detailed. Lovely
Glad I could help!
Its hard to focus with the music in the background
Trueee
Wrdd
Thank you for a clear explanation.
My pleasure! 😊
Thanks madam.. you are better than my sir
I'm so glad you found the video helpful!
Its very helpful thanks for explaining ❤
Glad it helped! You're welcome :)
very well explained, thank you!!!!
You're welcome and thank you!
thank you for the vedio it was easy to understand and relate
You are welcome! Glad you found it helpful!
thank you so much this is so well explained
You're very welcome! :)
Do we need to join the dots in simple scatter plotting???
Hi! No need to join the dots... if asked to, you may need a "best fit regression line"/"line of best fit"
Thanks this was very helpful 😊
You're welcome! Glad I could help :)
You make me understand it so easy
:) Glad I could help!
this video is great! but i have a little difficulty because there is no auto-generated english subtitle (english is not my mother language so im bad at listening but a little good at reading), but rather vietnamese
Thanks for letting me know! I turned on my closed caption.
Good lesson ❤
Thanks :)
may I ask, are all correlation association always reciprocal? from the example you mentioned, can the response variable be an explanatory variable, and vice versa?
I ask because it's a bit confusing to differentiate "correlation association" and "regression relationship"
Hey! In a sense yes... if we switched the response and the explanatory variable, the strength of the association will appear to be similar, BUT by putting the explanatory variable on the y axis and the response variable on your x axis, the information that the graph presents to your readers would be communicated incorrectly. For example, if you would like your graph to show that the number of miles walked may affect weight, by switching the axes, you would be saying that weight may affect the number of miles walked (perhaps true, but not the message I set out to communicate)
Hi Nicole, can you show me how to create these video?
Hey... I use a program called Doodly :)
thank you mam
You're welcome!
That was awesome
Thanks!
where's the association
I don’t know
@@AYSHOW-t4ythen why reply 💀
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😂😂😂
:)
Please do cut the background music
i don't speak kilograms