There are various options to measure the "goodness of fit"
The problem is that to do a goodness of fit calculation, you need two sets of data: the actual & expected.
The only two sets that make any sense (to me at least) are the pre-scaled and post-scaled sets; but the correlation between those will (should) be perfect whichever scaling method is used, since the latter is derived mathematically from the former.
I can't see what other 'expected' values you could use?
In reply to Re^4: Data range detection?
by BrowserUk
in thread Data range detection?
by BrowserUk
| For: | Use: | ||
| & | & | ||
| < | < | ||
| > | > | ||
| [ | [ | ||
| ] | ] |