Simple Linear Regression: Checking Assumptions with Residual Plots (Old, fast version)

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An investigation of the normality, constant variance, and linearity assumptions of the simple linear regression model through residual plots.

The data used in the pain-empathy example is estimated from a figure given in:

Singer et al. (2004). Empathy for pain involves the affective but not sensory components of pain. Science, 303:1157--1162.
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Glad you liked the video! I'm not sure what motivated the Scottish comment, but no, I'm Canadian. Occasionally a fellow Canadian from my area asks me what my accent is, so I must sound a little bit different from others.

jbstatistics
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Thanks! I don't currently have any videos about ML estimation. It's part of the plan, but I have a number of videos I need to take care of first.

jbstatistics
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Very nice... statistics is such that when you emphasize on some terms, they suddenly seem to have a lot more job....

JustMe-ptbc
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Some like it, some hate it. Life is more interesting that way.

jbstatistics
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Great presentation.
Which one is an example for independence of error terms ?
Thanks in advance.

vinnynahar
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Thank you
That was an awesome explanation

mohammadrezanargesi
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You are awesome :D hope you also have sth about maximum likelihood estimation!

psquadteh
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are you scottish?

great video, thanks!

SophieHatterLeFay
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I am giving you check for your video ;)

VarndTheGreat
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dude you sound like a UFC announcer!!

slickrick