Thanks in a million! Very well explained. This is the nth time that I am watching this again. Great content. Awesome. I couldn't find this explanation--simply put anywhere else. “Great teachers are hard to find”. Grade: A++ 💥
Wow thank you so much for this video!!!! This helped explain everything that I was having trouble with!! The diagrams with excel table really helped!!!
Very nice video. I would love to get more insight about the explanations on "why is it so" and no just what to apply. I'm reading more theoretical material but I'm still trying to connect the dots.
I think there is small mistake on the slide. SSE(yellow) is actually distance from the actual point to regression line, and SSR(green) is supposed to be from mean line to regression line.
Hello, your video is very useful. I have a doubt when 0 or value less than cero appears in the confidence interval, You mention that there is no linear relationship between x and y values. If this happens can a quadratic or cubic model be given? or what could be the model? Please, woul you explain me. Thanks.
correct me if I'm wrong but I'm a bit confused here. Doesn't the rule say that if the t-statistic or the calculated value is more than the critical value, we reject the null hypothesis? Then how are we passing the test here? According to the curve, the t value should lie between -2.228
Null hypothesis means "m" is = 0 so y would become y=b which means x is not related to y. We don't want that...it would mean no relationship between x and y, thus we reject this and accept alternative... meaning m different from zero...thus there is a relationship between y and x...that would be y =mx+b
Valuable video!! Can you please explain how the regression results in excel can be used to tell If the coefficient sufficiently different from zero or it is sufficiently different from one
Really informative slides thank you, what would have helped is at the end if you slowed down and went into a bit more detail as to what exactly each of the tests were used for and what they meant during our conclusion, this is what usually comes up in exams. Great work nonetheless!
Here's the question: IS THE ANSWER E?) Which of the following tells us how strong the relationship is between two variables? a) the slope of a line b) the intercept of a line c) the coefficient of determination d) the coefficient of correlation e) both C and D are correct
calculate critical and" f " statistic value considering the following information : Significance level 0.05 Numerator 11. denominator 3. Total sum of Square 160. Treatment sum of square 60. Observation number 25. treatment number 5. By solving this someone help me.
Thanks in a million! Very well explained. This is the nth time that I am watching this again. Great content. Awesome. I couldn't find this explanation--simply put anywhere else. “Great teachers are hard to find”. Grade: A++ 💥
Wow thank you so much for this video!!!! This helped explain everything that I was having trouble with!! The diagrams with excel table really helped!!!
This is the best lecture in statistics on my entire life.
Best video on UA-cam, which explains a lot more than others
Thank you for this well explained lecture.
I really got the solution to my problems on linear regression.
One of the best explinations on this topic. thanks.
Probably one of the best explanation of regression output
Thank you for your time Mr. Mursau. 🙏
Good slides, not overloaded. Because you can clearly see where everything comes from.
You get my like
Been looking for such explanation, thanks
Very thorough! Thanks :)
Very nice video. I would love to get more insight about the explanations on "why is it so" and no just what to apply. I'm reading more theoretical material but I'm still trying to connect the dots.
Very detailed and vivid explanation! Thank you!
Thanks Allen. Very useful.
It is a perfect explanation. Thank you, sir.
Great job! An awesome lesson. Well done sir!
Absolutely out of this world. I can’t explain them In words. God Bless you Sir!!!!! Cheers!,,,,
Best.. The best tutorial in depth.. Thanks a lot sir
Very helpfull, would it be possible to get the excel
Thank you very much
Thanks! awesomely explained. please make a lecture for heteroscedicity Tests and remedies too. Thanks in advance.
You're wrong sweetheart.
@@MrSupernova111 hahaha not everyone good at English words
Have you tried adding a few more things per slide? To make sure nothing gets missed. Thanks!
Excellent Video. Thanks a lot
Thank you for sharing this, it is really helpful
Thank you, best ever!
Thanks a lot !
Please create a few playlists. It's impossible to find these videos in your channel. :/
Great! Solved my numerous queries!
Genius!
I think there is small mistake on the slide. SSE(yellow) is actually distance from the actual point to regression line, and SSR(green) is supposed to be from mean line to regression line.
Please let me know if you can help me with review literature .. of course, i'll respect your time and efforts ..
Very helpful video. Thank you.
Very good, so what if one of the coefficients fail the test? Do you have to redo the model without that variable then?
Thanks Sir
Thank you Allen for this wonderful session ..... explained nicely and very helpful Thank you again :-)
Great Lecture! Thank you very much in deed.
Good and to the point explanation sir. Thanks.
Explained well sir
wonderful
Hello, your video is very useful. I have a doubt when 0 or value less than cero appears in the confidence interval, You mention that there is no linear relationship between x and y values. If this happens can a quadratic or cubic model be given? or what could be the model?
Please, woul you explain me.
Thanks.
Thank you, Sir!
Thanks for video....
is the regression analysis using Excel available for download ?
correct me if I'm wrong but I'm a bit confused here. Doesn't the rule say that if the t-statistic or the calculated value is more than the critical value, we reject the null hypothesis? Then how are we passing the test here?
According to the curve, the t value should lie between -2.228
yes we reject the null hypothesis.. meaning we pass the alternative hypothesis.. he was referring to the alternative test when he said pass/fail.
Null hypothesis means "m" is = 0 so y would become y=b which means x is not related to y. We don't want that...it would mean no relationship between x and y, thus we reject this and accept alternative... meaning m different from zero...thus there is a relationship between y and x...that would be y =mx+b
Great job, thanks a lot
Thank you. You make this all seems so easy.
vry greatful to u
How did you make those graphs i have all my data but i dont knoe how to make those graphs
Overloaded slides !!!!
I liked that personally, because I could get everything at one glance and follow
Hi , can i know how you got F value 10.89?
why n-k-1, my test book does not include 1
shouldnt the finv and fdist formula be for 2 tail test ? Please assist
Valuable video!!
Can you please explain how the regression results in excel can be used to tell If the coefficient sufficiently different from zero or it is sufficiently different from one
Really informative slides thank you, what would have helped is at the end if you slowed down and went into a bit more detail as to what exactly each of the tests were used for and what they meant during our conclusion, this is what usually comes up in exams. Great work nonetheless!
Here's the question: IS THE ANSWER E?)
Which of the following tells us how strong the relationship is between two variables?
a) the slope of a line
b) the intercept of a line
c) the coefficient of determination
d) the coefficient of correlation
e) both C and D are correct
Good
what do u mean by 5 percent probability
Sir i carried out multiple regression. and my f value for 6,7 degree of freedom at 5% significance level came out 2186010... isn't it too large?
Thank you!
Thanks!
good. I like it.
Thank you
does anyone know how the estimated variance of the estimated coefficient is calculated??
what if i got a t-stat value that is exactly 2.28 is it still passed?
The highlight yellow circle keeps changing the color from blue to green, since yellow + blue = green
a Biggggggggggggggggggggggggggggg B Sir your are the best
muy bueno
calculate critical and" f " statistic value considering the following information :
Significance level 0.05
Numerator 11.
denominator 3.
Total sum of Square 160.
Treatment sum of square 60.
Observation number 25.
treatment number 5.
By solving this someone help me.
Very helpfully
Formula not working T.INV.2T
sorry, but the t distrubution, you explain it wrong... if it is inside the numbers, your h0 will be stay... learn again
still cant understand...
He sounds like kripky from big bang theory
You made my day :D
RIP Headphone users
Several minor mistakes, but...
You should be looking at Adjusted-R2 and not R2 for multiple regression
This is probably the mushiest explanation ever. Way to many colors that are completely unrelated..