Statistics 21 - Lecture 9
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25 videosStatistics 21, 001 - Spring 2010- 1:19:07
Statistics 21 - Lecture 10by UCBerkeley8,481 views
- 1:17:24
Statistics 21 - Lecture 8by UCBerkeley7,458 views
- 1:08:48
Statistics 21 - Lecture 11by UCBerkeley5,875 views
- 1:18:57
Statistics 21 - Lecture 12by UCBerkeley5,163 views
- 1:23:10
Electrical Engineering 141 - Lecture 4by UCBerkeley6,012 views
- 1:18:41
Statistics 21 - Lecture 16by UCBerkeley5,655 views
- 1:13:43
Statistics 21 - Lecture 2by UCBerkeley35,723 views
- 1:21:08
Statistcs 21 - Lecture 15by UCBerkeley1,865 views
- 1:09:58
Statistics 21 - Lecture 27by UCBerkeley2,775 views
- 1:16:08
Statistcs 21 - Lecture 2by UCBerkeley3,436 views
- 1:14:23
Statistics 21 - Lecture 3by UCBerkeley2,131 views
- 1:16:56
Statistics 21 - Lecture 7by UCBerkeley7,616 views
- 1:20:57
Statistics 21 - Lecture 23by UCBerkeley1,249 views
- 1:25:21
Statistics 21 - Lecture 16by UCBerkeley966 views
- 1:20:42
Statistics 21 - Lecture 18by UCBerkeley1,143 views
- 1:15:29
Electrical Engineering 141 - Lecture 11by UCBerkeley2,061 views
- 1:20:03
Statistics 21 - Lecture 22by UCBerkeley1,152 views
- 1:19:23
Electrical Engineering 240 - Lecture 7by UCBerkeley2,621 views
- 1:24:52
Statistics 21 - Lecture 17by UCBerkeley1,028 views
- 8:19
What is R? (Part 1 of 4) Data Analysis and Statistical Graphics for the Enterpriseby REvolutionAnalytics13,331 views
just to comment, the difference with the eating 10lbs is different x's, the original linear regression was between DIFFERENT peoples heights and weights.The other would be the same persons weight at different values and their height (we would expect a correlation of 0!) but still the point i dont think was made.
emperoratuni 1 year ago