Introduction to Simple Linear Regression

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An introduction to simple linear regression.

The pain-empathy data 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.

The Janka hardness-density data is found in:

Hand, D.J., Daly, F. , Lunn, A.D., McConway, K., and Ostrowski, E., editors (1994). The Handbook of Small Data Sets. Chapman \& Hall, London.

Original source: Williams, E.J. (1959). Regression Analysis. John Wiley \& Sons, New York. Page 43, Table 3.7.
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It's shocking how simple these concept become when taught by someone engaging who cares and understands it well. Thank you!

sebgrootus
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1 hour lecture summarized in 8 mins thnx pal

albishob
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These videos, helped me ace STAT 2040 last semester, and are now helping with my new job. Thanks Jeremy Balka for being the best prof

Hebathurst
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8 years after and this video is still relevant and useful. Thank you so much for this!

malugaoaprilrose
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You're welcome. I'm glad to be of help. Thanks for the feedback!

jbstatistics
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WOW! First, your up-beat tone makes learning this not so daunting. Second, I am finally understanding these concepts!!

ashima
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Thanks! You are very clear and well paced, which made it easy to follow and understand

andrewww
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Thanks! I'm glad you find them helpful.

jbstatistics
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Masterful teaching, like your other videos. Deeply appreciated.

To make things even better, it would be great if you added in the video's description a link (or links) to other videos to which you make references during a session.

lexparsimoniae
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You are the Thank you so much for the felt stupid in class but now feel so confident to even take an exam after your explanations.

wanziganga
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Thank you so much for these excellent lectures.

valeriereid
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I really thought there was no hope for me to be able to learn this stuff, but wow, I understand it perfectly now. Such a good video...like seriously man. 

FunWithAaron
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I just discovered your videos. They are succinct and insightful. Thank you!

joerouse
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Once again, your videos are a great help. You are great.

waffledude
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Concise and informative. Very good work!

robertschwartz
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Nice video, it is a really good complement with all the reading I have done in order to summarize the topic. Also nice examples, it is encouraging to learn not only the algorithm perse but also other topics

rodvalram
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I heard the word Jenka hardness I am out.

JohnyB
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you are the best keep on doing this i always understand from your video

naemilikius
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at 7:25 can you explain the reason of not using _epsilon_..I still didn't get it

TreBlass
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your Method of teaching and explanation is fantastic, but you use hard examples in explaining just like in 0:39
it took me a while to understand the question
just use simple examples and you will be the best ever in statistics

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