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Mathematics 20 Online
OpenStudy (anonymous):

you use a line of best fit for a set of data to make a prediction about an unknown value. the correlation coefficient for your data set is -0.015. how confident can you be that your predicted value will be reasonably close to the actual value

OpenStudy (anonymous):

I am soooooo confused please help!

OpenStudy (rger):

ok

OpenStudy (rger):

will you fan and medal?

OpenStudy (anonymous):

yes

OpenStudy (rger):

ok

OpenStudy (solomonzelman):

You are not allowed to ask for that explicitly according to the site's policy, @rger

OpenStudy (anonymous):

I dont need a direct answer, just some help understanding it.

OpenStudy (solomonzelman):

The correlation coefficient (we will use "r" to denote it), tells us how strong the relation between the functions is. When r is closer to -1, that means the correlation tends to be perfectly negative. Something like this: |dw:1452201208017:dw| See how it is very close to just a line with negative slope?

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