•The regression formula is y = A*eB'x (lny = lnA + Bjc). Enter the y data as the
logarithm of .y(ln), and the x data the same as that for linear regression.
•Estimated values x, and y based on the regression formula can be calculated
using the following formulas:
Iny-lnA
■ Exponential regression
y = A»eBx
x = -
B
•Correction is performed the same as in linear regression. Constant term A is
obtained by S lig(@ (T)@ , estimated value y is obtained by x B E S S lg ]
@(11), and estimated value x is obtained by ilinvfsHiFflifrlflxi). Ey, Ey2 and Exy are
obtained by E\ny, E(\r\y)2 and Ex*\ny respectively.
Example Operation
Display
xi
yi
6.9
21.4
12.9 15.7
19.8 12.1
26.7
8.5
35.1
5.2
The data in the above table
can be used to obtain the
terms of the regression for
mula and the correlation coeffi
cient. Based on the regression
formula, estimated value y can
be obtained for jc/ =16, and
estimated value x can be
obtained for y i- 20.
S B
ÎSiÏÏFÏIfScilfixËl
(Clears memory)
6 .9 B B Q îD21.4(dt)
12.9isHiFTifTirTin15.7fDn
19.8BE)[E112.1(S)
2 6 .7 § ft)[I3Q38.5(dt)
35.1 (ü DCIDQK)5.2{dt)
(Constant term A)
fsiiiFTlf^lSHiFTllTlfixil
(Regression coefficient B)
§D[b](œ)
(Correlation coefficient r)
IsiÜFTimiÜÉI
(y when xi= 16)
16 © d @ ® © S @
(x when yi = 20) fhTl 2 0 IsHlFTlf^lfixil
6.9
12.9
19.8
26.7
35.1
30.49758742
0.049203708
-0.997247351
13.87915739
8.574868046
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