# Difference between revisions of "Segment 18. The Correlation Matrix"

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The direct YouTube link is [http://youtu.be/aW5q_P0it9E http://youtu.be/aW5q_P0it9E] | The direct YouTube link is [http://youtu.be/aW5q_P0it9E http://youtu.be/aW5q_P0it9E] | ||

− | Links to the slides: [http:// | + | Links to the slides: [http://wpressutexas.net/coursefiles/18.CorrelationMatrix.pdf PDF file] or [http://wpressutexas.net/coursefiles/18.CorrelationMatrix.ppt PowerPoint file] |

===Problems=== | ===Problems=== |

## Latest revision as of 14:36, 22 April 2016

#### Watch this segment

(Don't worry, what you see statically below is not the beginning of the segment. Press the play button to start at the beginning.)

{{#widget:Iframe |url=http://www.youtube.com/v/aW5q_P0it9E&hd=1 |width=800 |height=625 |border=0 }}

The direct YouTube link is http://youtu.be/aW5q_P0it9E

Links to the slides: PDF file or PowerPoint file

### Problems

#### To Calculate

1. Random points i are chosen uniformly on a circle of radius 1, and their coordinates in the plane are recorded. What is the 2x2 covariance matrix of the random variables and ? (Hint: Transform probabilities from to . Second hint: Is there a symmetry argument that some components must be zero, or must be equal?)

2. Points are generated in 3 dimensions by this prescription: Choose uniformly random in . Then a point's coordinates are . What is the covariance matrix of the random variables in terms of ? What is the linear correlation matrix of the same random variables?

#### To Think About

1. Suppose you want to get a feel for what a linear correlation (say) looks like. How would you generate a bunch of points in the plane with this value of ? Try it. Then try for different values of . As increases from zero, what is the smallest value where you would subjectively say "if I know one of the variables, I pretty much know the value of the other"?

2. Suppose that points in the plane fall roughly on a 45-degree line between the points (0,0) and (10,10), but in a band of about width w (in these same units). What, roughly, is the linear correlation coefficient ?