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
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?
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?
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.
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!!!
if we try to put any value of given X then we were having deviations so how we are going to explain that changes as if i put x=4 then y=4.1104, but the actual value of y=3 i am not able to get this concept pls help
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
hye Prof..if u don't mind....just quick question..le my independent was extraversion n my independent was birth order with 3 category under it like 1st,2nd n 3rt order...let say if I want to measure which birth order is more extraversion can just run it by using this linear regression?
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
Hello please you gave out two formulae for the standard deviation. But the answers varies. Can you please explain further. Am confused with the other equation
sometimes old fashioned pen(cil) and paper works best! thanks for breaking linear regression down to its most simple components
Your teaching is so perfect and the pace is so good. You are a good teacher. Thanks so much
Very nice and straight forward. Will have to calculate coefficients and linear regressions within my finance class, this really helps.
THANK YOU FOR YOUR CONCERN FOR OUR STUDIES
your one of the greatest teachers... so much i appreciate your work
I hate school.
sorry
😢me too 😅
You made it very simple . A great teacher you are . Much appreciated
Thank you kind sir, your effort made my day, by explaining me this in a cristal clear manner.
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
Your pace, accent, method is sooo good that makes you're the best teacher thank you
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
thank you for giving us these tutorial, we really appreciate them.
You have a very clear voice which gives people morale to keep listening as they learn.Thank you
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 !
Best long math video I’ve seen so far
You are the best tutor. Statistics made easier. thank you
Amazing. Helped me with my Uni assignment.
Much love.
Great video slcmath, different from other methods, very interesting esp getting the linear regression first.
You are incredible!! Now I understand regression
one of the best ....many thanks for such a clear explanations
Brilliant!!!!! This video really helped me out. i was in class last week and didnt understand a thing but this Thumbs up
It's very much clear to undestand easily. lots of thanks to your effort.
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
This was a wonderful video thanks for helping me get an A on my Stats Midterm!
merci beaucoup mister ❤, love youuu, from naina
Thank you for sharing this great tutorial !!
Straight to the point. Thank you for sharing.
Watching this to understand our lesson in modular classes💜
Thank u for this one✨ really appreciate this
you made this SO easy, my GPA thanks you
Amazing video ! Helped me to brush up my concepts ! Keep up the good work :)
wonderful...all tackle my paper for tommorrow with alot of ease....thanks teacher
That was incredible. Thanks so much
I can't believe I struggled with this topic this semester, thanks for the video, ready for my final exam 😁
Sorry how is life now. You are done with university 🎉
This is very nicely explained and a very nice pace......easy to follow..
good video, thanks for sharing
Fantastic video, thanks for this
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?
Thanks for helping me with my studies
Man your stuff is really good
Very brilliant teacher. Summarized piece of work and clear to the point. Thank you so much 🙏🙏🙏
Glad it was helpful!
Great explanation! Thank-you!
thank you so much for this it will be really useful for my final exam
Thanks for your best explanation.
excellent teaching. very easy to digest. thanks
Thanks for this simple and clear video
Great. . it helped me for my exam... Thank u...
Very well explained! Thank you
Every single video I find on this topic that uses these formulas calculates E(y ^ 2) but then doesn't use the result anywhere.
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?
I wish you were my lecturer
i watching your vidio make me relly bunderstand very clear,,
Thank you dear, you really saved me!
You're too much.. I'm falling in love with economics again
thanks for your teaching.
this video is really helpful for my final test tomorrow lol thank you 😃
same here lol :)
haha tommorrow iz my final exam....😅😅
haha kesa huva phir? hahah
tamammm videio sireee
you helped so much thank you
Good....👍
Allah makes the impossible possible.
Thank you very much. It was very helpful
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.
You are the best . Thanks a lot 🙏
Is regression and linear regression the same thing and correlation and coefficient of correlation?
Thank y so much.
Can y please make a video about logistic regression.
very nice and very clear
wow....this is the best video explaining these topics
Super helpful. Thank you.
That was a brilliant and beautiful explanation of a complicated process!
Thank you very much, very clear explanations make the whole video worthy to keep and share.
***** hi how are you??
Vivek Negi not here pls
same here lol
When can i use the deviation forms of the equations to estimate
Thank you so much for this video
Is there a way I can make an extrapolation prediction?
This is crystal clear...Thank you..=D
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!!!
Can u do multiple regression?
Very useful thank you so much
if we try to put any value of given X then we were having deviations
so how we are going to explain that changes
as if i put x=4 then y=4.1104, but the actual value of y=3
i am not able to get this concept pls help
thank you for sharing this video. Incredibly helpful
At first I thought Ross from Friends was giving the lecture!
Lmao
And Is this applicable to grouped data only?
Thanks a lot! really helpful
can i ask if the summation will not be divided by the total number of values ?
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
Thanks you have helped me
Thanks you have helped me
hye Prof..if u don't mind....just quick question..le my independent was extraversion n my independent was birth order with 3 category under it like 1st,2nd n 3rt order...let say if I want to measure which birth order is more extraversion can just run it by using this linear regression?
Your writing is very nice visually and the explanation is quite good as well :)
yes his handwriting is good
This is SO helpful
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
thank you so much
thank you!
Can the answer be correct if my x value is 3?
great content
Anybody please help tell me which book/journal has published this equation for the variable a and b.
Well explanation
Hello please you gave out two formulae for the standard deviation. But the answers varies. Can you please explain further. Am confused with the other equation
Why do we need the y^2 column?
SMOOTH!!!
Thank you so much
sir how u take x=5 and y=4.5
Thank you ❤️💫