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## Main Question or Discussion Point

Hi,

Are you aware of any dataset (in R or elsewhere) consisting of a sample from two variables where the correlation coefficient is (approximately) equal to 1, but the variables refer to completely irrelevent things, i.e. one measuring something that happens on earth and the other something on a distant planet?

or

a case where a parameter causauly affects a measure, but because other such 'causual' parameters also exist, a sample from the respective two variables has correlation coefficient far distant from 1 or -1?

My point is that the correlation coefficient is really an indicator that is informative?

Any suggestions?

thanx, alex

Are you aware of any dataset (in R or elsewhere) consisting of a sample from two variables where the correlation coefficient is (approximately) equal to 1, but the variables refer to completely irrelevent things, i.e. one measuring something that happens on earth and the other something on a distant planet?

or

a case where a parameter causauly affects a measure, but because other such 'causual' parameters also exist, a sample from the respective two variables has correlation coefficient far distant from 1 or -1?

My point is that the correlation coefficient is really an indicator that is informative?

Any suggestions?

thanx, alex