[EMAIL PROTECTED] wrote in message <81pgdm$irn$[EMAIL PROTECTED]>...
>Hi,
>I am very new to descriptive statistics and have a problem that I need
>help with.
>
>1. I have two sets of scores which are related to each other.
> SET A 1100,1040,950,1090,1050,970,900,1110,940,880
> SET B 108,128,113,103,112,119,96,103,112,92.
> My question is do I use Pearson's or Spearman's.
>
>Thanks in advance.
>
Obviously the sets are not related in a linear fashion.
I would suggest that a 4th degree polynomial equation best fits the data.
The average percent error of the residuals is 2.3948% with a standard
deviation of 1.8634%, the maximum percent error is 5.7357%. A sixth degree
might be very slightly better but even a second degree polynomial fits fairly
well. The Mean percent error of the residuals is 2.868% with a standard
devation of 2.2557% and a maximum of 6.8269%.
A good statistical software package would advise you that a linear plot is no
good and suggest trying curvilinear (polynomial) fits. It took me about five
minutes to check for linear correlation and also check 2nd, 3rd, 4th, 5th,
and 6th degree polynomials.
Good Luck,
Jean Rex
