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Fans from Sri Lanka ❤🇱🇰

So comprehensive . 😢

Thnx

Thanks

surprised that such a understandable video has little views, best I have seen so far!

The ads in your video is ridiculous pls do something

Thank you keep it up

I wish you where my teacher

Do you know the professor Van-Sang NGO ?

@9:40 ... cumulative (true) means Excel is adding all the probabilities to the LEFT. That is why you need to subtract it from 1 to get all the probabilities to the RIGHT. You should put a correction in this video.

This is an excellent tutorial. You made it all so simple. Many thanks

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You are a life saver thank you very much I was confused on this topic and hypothesis testing. Thank you Thank you.

Thank you for these videos! They’re a huge help with my current Intro to Business Statistics class!

You are a life Saver ❤

Are we supposed to do the course on RUclips

I hope you can help me

Why do we interpret the change in y as average change?

which of the following errors is more serious and why? sampling error non-sampling error

That was an amazing video and made a lot of sense to me. Thank you for doing what my school books cannot.

Thank you!

Shouldnt yi - yhat be the unexplained variation? You are measuring the gap between the linear line and the y sample, it is the gap between reality and measurement, which is the unexplained part..?

10QUVM for your valuable presentation!!!!

Thanks for this

Thank you!

Thank you sooo much for these videos about Linear Regression

Your lectures are phenomenal. My university professor is so bad, the university had to been very desperate to give him the teaching job. I can't move to San Diego to attend your lectures in person so I will go through all of your lectures here on your channel.

That was quite enlightening

Why was df n - 2 and not n - 1????

is the excel regression t stat give you one tail or two tail t stat?

This is exactly what I was looking for, thank you for making this!

in z equation, sigma/square root of n is the srandard error

note to self: theorem 1: studying the mean of a sample is the same as the mean of the entire population central Limit theorem: for any sample size, it eventually reaches a normal distribution if the sample population is large enough

Can we completely eliminate the sampling error?

thank you so much professor

Thank you very much for this video. I'm a university student taking a statistics course and I felt lost till I stumbled upon your videos.

🙌🙌🙌

Thank you so much.

Thanks a lot!

Thanks for the nice summary. Definitely helps Professor.

you are THE BEST

EXCELLENT VIDEO !!!!!

When should a consumer state they only want to pay the finance charge?

A finance charge should include the sum of all charges the consumer is obligated to..

thank you from 2022

You are literally the best! Way better than my uni in Aus. Woud love if you did other units

This is so well explained! Thank you

Best best best.

This is quality education right there. Thankyou mam