Obtaining Coefficients From The Fit Model; Finding Fit Coefficients - HP 39g Master Manual

Obtaining coefficients from the fit model

Coefficients can be obtained from the chosen fit model algebraically. The
function PREDY from MATH gives a predicted y value using the last line of
best fit that was calculated. This means that you must use the SYMB view to
ensure that your set of data is the only one
SETUP is set to the correct fit model, and also use the PLOT screen and the
key to ensure that your set of data was the last one graphed and that it
has had its curve of best fit displayed. Until the curve has been displayed, the
coefficients are not available or, worse, might belong to another data set.
If the line of best fit is
calculations shown below and right will give the slope and y-intercept.
PREDY
−
and PREDY (1) PREDY

Finding Fit Coefficients

Linear - m*X+b
Logarithmic - m*LN(X)+b
Exponential - b*EXP(m*X)
Power - b*X^m
Quadratic - a*X^2+b*X+c
or,
Cubic - a*X^3+b*X^2+cX+d
= +
(see the SYMB screen) then the
y m X b *
= +
(0) m *0 b
=
b
= + −
(0) ( *1 m b ) ( *0
= + −
m b b
=
m
b = PREDY(0)
m = PREDY(1)-PREDY(0)
b = PREDY(1)
m = PREDY(e)- PREDY(1)
b = PREDY(0)
m = LN(PREDY(1)/PREDY(0))
b = PREDY(1)
m = LN(PREDY(e)/PREDY(1))
a = (PREDY(2)-2*PREDY(1)+PREDY(0))/2
b = (PREDY(2)+4*PREDY(1)-3*PREDY(0))/2
c = PREDY(0)
−
1
    
a 0 0 1 PREDY
    
= ×
b 1 1 1 PREDY
    
    
  c  4 2 1   PREDY
−
1
   
a 0 0 0 1
   
b 1 1 1 1
   
= ×
   
c 8 4 2 1
   
   
   
d 27 9 3 1
145
ed and make sure SYMB
+
m b )

(0)

(1)


(2) 
 
PREDY (0)
 
PREDY (1)
 
 
PREDY (2)
 
 
 
PREDY (3)