Linear Regression and Correlation - Example 

sometimes old fashioned pen(cil) and paper works best! thanks for breaking linear regression down to its most simple components

I hate school.

Your teaching is so perfect and the pace is so good. You are a good teacher. Thanks so much

Your pace, accent, method is sooo good that makes you're the best teacher thank you

Very nice and straight forward. Will have to calculate coefficients and linear regressions within my finance class, this really helps.

Please solve this question- Consider the linear regression model y = - 1.5x + 5.6 + e, where e is a normal random variable with mean 0 and variance O ^ 2 = 4 Determine the mean and standard deviation of when x = 2 and x = 4.5

You made it very simple . A great teacher you are . Much appreciated

I highly appreciate this effort I hope that you will upload more of these in order to help students improve the acute in correlation coefficient

You are the best tutor. Statistics made easier. thank you

Amazing. Helped me with my Uni assignment. Much love.

your one of the greatest teachers... so much i appreciate your work

Thank you so simple! Even those who problem. Of easily catch up can understand this You are far better than my lecturer thank you sir

thanx very much its my last year in college and your lesson helped me thanx again :)

I couldn't find a enoug tutorial which one is enough to explain regression until now, I really understand all of them, Thanks sir !

THANK YOU FOR YOUR CONCERN FOR OUR STUDIES

Say for example Y = number of rooms. And we get Y=1.234 from the regression line for a certain X value. How can we mark this on our scatter diagram? Is it 1 because "number of rooms" cannot have fractions? Or do we mark the exact value we get?

I can't believe I struggled with this topic this semester, thanks for the video, ready for my final exam 😁

You have a very clear voice which gives people morale to keep listening as they learn.Thank you

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merci beaucoup mister ❤, love youuu, from naina

It's very much clear to undestand easily. lots of thanks to your effort.

Thank you kind sir, your effort made my day, by explaining me this in a cristal clear manner.

this video is really helpful for my final test tomorrow lol thank you 😃

you made this SO easy, my GPA thanks you

Best long math video I’ve seen so far

Once you get the slope (^a) you don't really need the formula to calculate the intercept (^b). Just use the mean values of x, y and plug the slope in the line equation: y_mean = ^a * x_mean + ^b. Here, we have, y_mean = 20/6, x_mean = 19/6 and slope(^a) = 0.9324. So, we get intercept (^b) = y_mean - ^a * x_mean = 20/6 - 0.0324 * 19/6 = 0.380733

one of the best ....many thanks for such a clear explanations

Very brilliant teacher. Summarized piece of work and clear to the point. Thank you so much 🙏🙏🙏

thank you for giving us these tutorial, we really appreciate them.

Every single video I find on this topic that uses these formulas calculates E(y ^ 2) but then doesn't use the result anywhere.

You're too much.. I'm falling in love with economics again

Great video slcmath, different from other methods, very interesting esp getting the linear regression first.

This was a wonderful video thanks for helping me get an A on my Stats Midterm!

excellent teaching. very easy to digest. thanks

Brilliant!!!!! This video really helped me out. i was in class last week and didnt understand a thing but this Thumbs up

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wonderful...all tackle my paper for tommorrow with alot of ease....thanks teacher

This is very nicely explained and a very nice pace......easy to follow..

You are incredible!! Now I understand regression

Thanks for helping me with my studies

At first I thought Ross from Friends was giving the lecture!

Thanks for this simple and clear video

Watching this to understand our lesson in modular classes💜 Thank u for this one✨ really appreciate this

very nice and very clear

i watching your vidio make me relly bunderstand very clear,,

Straight to the point. Thank you for sharing.

Thank you for sharing this great tutorial !!

Great explanation! Thank-you!

Great. . it helped me for my exam... Thank u...

thank you so much for this it will be really useful for my final exam

Man your stuff is really good

Thank you very much, very clear explanations make the whole video worthy to keep and share.

Thanks for your best explanation.

Good....👍

Well explanation

hey thanks you really helped me with the work i needed to get done because the formula the prof gave me would not give me the answers i needed and yours did so thanks alot

I wish you were my lecturer

good video, thanks for sharing

That was incredible. Thanks so much

Amazing video ! Helped me to brush up my concepts ! Keep up the good work :)

wow....this is the best video explaining these topics

Nice video Its great But there is a little bit mistake that you made, when you was finding a^ instead of putting value of submission(xy) you put value of x square. Again thanks for this good video!!!

Very well explained! Thank you

Your writing is very nice visually and the explanation is quite good as well :)

Fantastic video, thanks for this

Thank you dear, you really saved me!

You are the best . Thanks a lot 🙏

it seems that the formula used to calculate constant a is that could be used for b, the lecture should check, otherwise we should be confused or taking wrong lesson

Thank you very much. It was very helpful

thanks for your teaching.

SMOOTH!!!

Thank y so much. Can y please make a video about logistic regression.

Thank you for posting this example of the correlation and Linear Regression. My question is this, can you please show on the calculator how you came up with the answers to the equation? I've tried to use my own calculator to see how you came up with the answer and have had no luck. I keep coming up with the incorrect answer.

This is crystal clear...Thank you..=D

Legend

very clear

Super helpful. Thank you.

That was a brilliant and beautiful explanation of a complicated process!

This is SO helpful

Research by Huhtaniemi et al. (A-19) focused on the quality of serum luteinizing hormone (LH) during pubertal maturation in boys. Subjects, consisting of healthy boys entering pubeny (ages 11 years. 5 months to 12 years), were studied over a period of 18 months. The following are the concentrations (TUL) of bioactive LH (B-LH) and immunoreactive LH (1-LH) in serum samples taken from the mbjects. Only observations in which the subjects' B/ ratio was greater than 3.5 are reported here Can someone please solve it

you helped so much thank you

why you not plot a graph ?how we indicate the regression relationship ? 😒

Very useful thank you so much

thank you for sharing this video. Incredibly helpful

best vidio

Thank you so much

I am starting to hate school especially when math is included

Thanks a lot! really helpful

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Thank you ❤️💫

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This video helps a lot for my final tomorrow. Thank you!!

Thank you

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Thanks

Thank you !

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The formula for standard deviation has n-1 in denominator which is wrong. It should be n

what is the relationship between correlation and regression? is it correct to say that if two variables are strongly correlated then linear regression analysis can be used to predict the value of independent variable?