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Θ Fit data using columns 1 (x) and 3 (y) using a logarithmic fitting:
L @)STAT @)£PAR 3 @YCOL select Ycol = 3, and
@)MODL @LOGFI select Model = Logfit
L @)STAT @PLOT @SCATR produce scattergram of y vs. x
@STATL show line for log fitting
Obviously, the log-fit is not a good choice.
@CANCL returns to normal display.
•
Select the best fitting by using:
@)STAT @£PAR @)MODL @BESTF shows EXPFIT as the best fit for these data
L@)STAT @)FIT @£LINE produces '2.6545*EXP(0.9927*X)'
@CORR produces 0.99995… (good correlation)
2300 @PREDX produces 6.8139
5.2 @PREDY produces 463.33
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