Linear Regression and Correlation - Example

[@PrunusCerasusx3]

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

[@psychemist]

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

[@shabba_yt1904]

I hate school.

[@Bemps631]

sorry

[@sad_vibz]

😢me too 😅

[@hazelopeyemi2689]

Sameeee

[@tapiwatakuva6416]

😂😂😂

[@Onyinyechi1043]

😂😂😂

[@hakeemojulari7392]

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

[@midasofficial4532]

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

[@shariatpoomun7021]

merci beaucoup mister ❤, love youuu, from naina

[@KUOLALFREDAJAK]

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

[@ludiogot143]

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

[@AdenAbdiNafisa]

If only they’re this good at teaching us thanks for this masterpiece I appreciate it

[@cabsali2069]

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

[@habibsheriff5492]

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

[@mompolokiterrencetsedi3016]

THANK YOU FOR YOUR CONCERN FOR OUR STUDIES

[@chrisprice8547]

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

[@erhantapan]

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

[@finotelozayenealem27]

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

[@nabothtukahirwa135]

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

[@hloniphalisa4632]

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

[@sezerbozok1958]

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

[@mdshohaghossen8065]

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

[@Steamxys]

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

[@volentemediaa]

you made this SO easy, my GPA thanks you

[@thethakuri]

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

[@amosemmanuel5472]

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

[@slcmathpc]

Glad it was helpful!

[@peaceizedonmwen9737]

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

[@fayezyosufi7682]

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

[@musicarose5232]

Best long math video I’ve seen so far

[@muctarrceesay1231]

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

[@idlanir9304]

excellent teaching. very easy to digest. thanks

[@mikiehorton1495]

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

[@sheldonblackwood4483]

Thanks for this simple and clear video

[@benardotieno9580]

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

[@kanissieaminatamusu5521]

Thanks for helping me with my studies

[@marleycalvert9866]

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

[@simrangupta9558]

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

[@AfghaniMusic-qe7tz]

very nice and very clear

[@itumelenglepota8620]

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

[@TheMoeP]

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

[@Aymana44]

Sorry how is life now. You are done with university 🎉

[@madesuandika8305]

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

[@dianaxo9638]

You are incredible!! Now I understand regression

[@kf2606]

Great explanation! Thank-you!

[@ayunatasha2445]

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

[@InfotainmentVidyarthi]

same here lol :)

[@iqraramzan7968]

haha tommorrow iz my final exam....😅😅

[@alihasnain4628]

haha kesa huva phir? hahah

[@shariatpoomun7021]

tamammm videio sireee

[@richamaetimtim4539]

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

[@Mathematicsketeacher]

Allah makes the impossible possible.

[@indianocean4560]

Good....👍

[@romzaish]

Straight to the point. Thank you for sharing.

[@muhammadaliqureshi21]

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

[@babasrj1816]

Lmao

[@janaschutte8141]

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

[@carolinekimeu8913]

Thanks you have helped me

[@carolinekimeu8913]

Thanks you have helped me

[@vialeyrichards4244]

Man your stuff is really good

[@yogitajoshi]

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

[@rahulvaish3034]

Thank you for sharing this great tutorial !!

[@albayrakcan]

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

[@derejebekele3058]

Thanks for your best explanation.

[@maishabotejue7112]

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?

[@twinqlez1]

good video, thanks for sharing

[@abdullahsulaiman6534]

You are the best . Thanks a lot 🙏

[@johnmnjama6837]

Thanks really helpful

[@privacyvalued4134]

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

[@aomo5293]

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

[@abdirahmanabdullahiosman766]

thanks for your teaching.

[@richardgordon]

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

[@shobhitdubeyprobro]

great content

[@maralpajoheshgar6931]

Very useful thank you so much

[@elizabethhankammer5698]

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

[@viveknegi9572]

***** hi how are you??

[@ichimori88]

Vivek Negi not here pls

[@deepeshkushwaha4685]

same here lol

[@jovanaguzman2363]

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

[@umarsanusi5740]

Well explanation

[@onyapidi5174]

Very well explained! Thank you

[@rishisk8]

That was incredible. Thanks so much

[@anna.i2494]

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

[@alihasnain4628]

yes his handwriting is good

[@rudeboyjim2684]

This is SO helpful

[@WeezyKDS128]

Fantastic video, thanks for this

[@marien1991]

Thank you dear, you really saved me!

[@samirtalibov2055]

Thank you very much. It was very helpful

[@shubhampathak1080]

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

[@atangajohn9897]

wow so great

[@evilconsciousness]

Thank you so much for this video

[@773soccer]

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

[@Ngima_YT]

Thank you very much 👍👍👍👍👍👍👍🙏

[@noobfish08]

Thank you ❤️💫

[@PaganiTypeR]

Super helpful. Thank you.

[@C.o.d.e_15]

SMOOTH!!!

[@jeneledward7983]

Thank you sir.

[@kiranprince7401]

Thanks a lot! really helpful

[@isaiahmaragalla]

very clear

[@Shiv-narayan193]

Thank u from usa

[@sangeetamanikpuri1355]

Thnkx for video sir

[@Maths2add2]

thank you for sharing this video. Incredibly helpful

[@Heffsta02]

I wish you were my lecturer

[@mr.awgmuhdabdullahbinawang4572]

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

[@balemlaysefefe7378]

best vidio

[@bubundas8236]

Thanks a lot

[@dianna007]

Thank you so much 😊

[@habibulrehman9334]

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!!!

[@Superstars.Podcast]

Legend

[@andreakukla5432]

you helped so much thank you

[@sulaimanaji3527]

Thank you

[@sna6258]

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

[@ladylori1395]

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.

[@marleneirene23]

THANKYOUU SO MUCH !!! :""")

[@damienhabimana1484]

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

[@slcmathpc]

Everything presented is correct. :-)