Added: 2 years ago
From: DrMaggard
Views: 40,437
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  • Great job! Very helpful and clear to understand... Cudos! :)

  • OMG thank you so much explains it so easily!

  • very nice explanation...................­..

  • Thanks a Lot.Simple and easy to understand.

  • thank you very much given basic idea

    

  • thank you, this helped me out so much

  • Finally I MF get it!

  • soo loud

  • Thank you very much!

  • Would you be able to share what presentation software you used, and if you used a light pen (or whatever they are now called) or a mouse to draw in the X,Y, the data points and the lines? I'm developing my own mini-lectures and am interested in the technologies others are using.

  • @spaceinkfilms

    I use a Bamboo tablet and pen to do the screen writings, which I create in One Note and record using Camtasia. It might not be the best method but it worked for me. Good luck with your mini-lectures.

  • Are the data sets the raw data or data after the raw data has been manipulated.

    It seems the lateer.

    What I am saying is using this vid in isolation is a little confusing.

    I just know you agree. lol

  • godd luck wit dat boys

  • thank you so much! No retesting this summer!!!!!!!!!!!

  • Thank you so much! This was great! Helped a lot! 

  • this is so confusing

  • great job 

  • well by saying "correlation shows a relation between variables", then i simply can't agree that in the fourth drawing there is no correlation. there's no bijective correlation, i agree, but there's a correlation. If i see a parable in the drawing, there's definetelly something going on there, some way the variables influence each other. Not in a linear way, but correlations aren't about liniarity, but about influence.

    So that fourth case - i don't agree with you.

  • @De4sher what she is trying to say is that the Pearson's correlation coefficient rho=0 = not linear relationship, because she is using r (rho)..but of course there´s a relationship that in nonlinear.

  • Fantastic explanation! Thank you so much!

  • Can we say when there is no correlation that the variables are NOT affecting eachother or is that equally uncertain as the opposite case?

  • i understand this in my psyc course now . thank you !

  • peerrrfffecccttt sister in humanity

  • nice one !!!!!

    M

  • love how you said hmmmmmm kayyyy

  • thax

  • any views on the correlogram???

  • excellent explenation :)

    Gr.

    Sandeep

  • uhhmm, about your fourth example of direction, if its a curve it is just called a non-linear. tried to research about it because my teacher told me that it still has a relationship but not linear. thanks though, you made it a little easier for me about correlation direction and strength

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