Basic tutorial on how to calculate a correlation coefficient (r), determine the significance of a correlation coefficient, and calculate the coefficient of determination.
Thank you for posting this video you don't know much this helps. I will show this to my other friends who need help with this. This is much apreciated.
Awesome! You are a life saver, i have watched over 6 videos and none was able to explain the concept like the way you dod. I really appreciate your help. Thanks
Not all teachers know how to teach, and this is a great example of how to teach! Significantly easier to master when you know what's going on. My stat prof could learn a thing or two!
@ka10kk The reason we have 3755.3 is because we multiply 10 X 47 X 799 (not just the latter two). We don't multiple sum of x and sum of y to get the sum of xy, but we add up all the xy's listed above it. Thus 340+48+.... = 3939.
@f4everinyagrill The formula for standard deviation takes some work when done by hand (see my basic stats videos). In any case, the SD for Y is 11.5706 because we take the square root of [1/9 X (65045-63840.1) or square root of 133.8778.
Amazing video, thanks. Just a question, where does the formula come from? I mean, there's any logic behind? Or they just tried random steps until it worked? Thanks.
Hi DrMaggard. Thank you for the nice clips. I am a bit lost at the point where you compute the r critical value. It is not clear to me why you choose the .05 level for 2 tailed test. Is there a video you go over this or is it something standard?
One question that bothers me: If we obtained a correlation of .7 with a sample size of 1000, and we draw from that sample size a smaller sample of say 10 and compute the correlation, would we expect to see the same effect of .7? Is effect (correlation) affected by size?
Wow! I...am....so screwed! I'm in Statistics right now, and we just started on this. I've watched tons of videos, browsed my notes, etc. and it's still lost on me.
Are the standard deviation results for x and y values correct here? When I use numpy on python and plug in the values; the results for x is 2.05183 and 10.976794 for y. Can't figure out what's causing the difference.
Can someone tell me where I'm going wrong...... I calculate the SD for 4.7=2.17 (2.167948) and the SD for 79.9=8.94. The SD is the square root right????
Thank you soooo much. This was the BEST video I found for these kinds of problems.
Thank you for posting this video you don't know much this helps. I will show this to my other friends who need help with this.
This is much apreciated.
Awesome! You are a life saver, i have watched over 6 videos and none was able to explain the concept like the way you dod. I really appreciate your help.
Thanks
Very nice! Well explained. More people should watch this video for those who are confused with this.
I learn more from RUclips that from my teachers in the University... :/
THANK YOU DR.M !!!!!!!! U SAVED ME FROM FALLING A TEST !!!!!
Not all teachers know how to teach, and this is a great example of how to teach! Significantly easier to master when you know what's going on. My stat prof could learn a thing or two!
Fantastic stuff!!! I looked all over for a good example on how to do this and this was by far the best. Thanks very much!!!
You helped me more than my maths tutor, Thank you.
@ka10kk The reason we have 3755.3 is because we multiply 10 X 47 X 799 (not just the latter two). We don't multiple sum of x and sum of y to get the sum of xy, but we add up all the xy's listed above it. Thus 340+48+.... = 3939.
Very easy to follow! My final exam grade thanks you!
Thank you very much, now I do not need to worry about my test.
Great Video!!! i really needed a good example of this
Thanks,
really helped for a better understanding!
@f4everinyagrill The formula for standard deviation takes some work when done by hand (see my basic stats videos). In any case, the SD for Y is 11.5706 because we take the square root of [1/9 X (65045-63840.1) or square root of 133.8778.
Amazing video, thanks. Just a question, where does the formula come from? I mean, there's any logic behind? Or they just tried random steps until it worked? Thanks.
This is a great video! Thanx for the help!
Hi DrMaggard. Thank you for the nice clips. I am a bit lost at the point where you compute the r critical value. It is not clear to me why you choose the .05 level for 2 tailed test. Is there a video you go over this or is it something standard?
piece of cake! thank you so much :D
Thank you very much for this video.
One question that bothers me: If we obtained a correlation of .7 with a sample size of 1000, and we draw from that sample size a smaller sample of say 10 and compute the correlation, would we expect to see the same effect of .7? Is effect (correlation) affected by size?
Wow! I...am....so screwed! I'm in Statistics right now, and we just started on this. I've watched tons of videos, browsed my notes, etc. and it's still lost on me.
Thank you!
You have saved me
can you create a video for the least squares method and how it is used for predictions? PLEASE......
Is the correlation formula for the sample, population or both?
thank you so much
dat,s gr8
thanku
can i use this if i want to find the correlation between the level of humor (as perceived) to their scores? I used likert scale to identify humor.
Are the standard deviation results for x and y values correct here? When I use numpy on python and plug in the values; the results for x is 2.05183 and 10.976794 for y. Can't figure out what's causing the difference.
dont forget she rounded to 4 decimal places
Can someone tell me where I'm going wrong...... I calculate the SD for 4.7=2.17 (2.167948) and the SD for 79.9=8.94. The SD is the square root right????
is this a t-test or an anova? if not how do i set it up like it is.
make your video more intersting..