8-12 Statistics aplet
Fit models Eight fit models are available:
To define your
own fit
1. In Numeric view, make sure
9$5_
is set.
2. Display the Symbolic view.
3. Highlight the Fit expression (Fit1, etc.) for the desired
data set.
4. Type in an expression and press >(17(5@.
The independent variable must be X, and the expression
must not contain any unknown variables.
Example: .
This automatically changes the Fit type (S1FIT, etc.) in the
Symbolic Setup view to User Defined.
Fit model Meaning
Linear (Default.) Fits the data to a straight
line, y = mx+b. Uses a least-squares
fit.
Logarithmic Fits to a logarithmic curve,
y = m lnx + b.
Exponential Fits to an exponential curve, y = be
mx
.
Power Fits to a power curve, y = bx
m
.
Quadratic Fits to a quadratic curve,
y = ax
2
+bx+c. Needs at least three
points.
Cubic Fits to a cubic curve,
y = ax
3
+bx
2
+cx+d. Needs at least
four points.
Logistic Fits to a logistic curve,
,
where L is the saturation value for
growth. You can store a positive real
value in L, or—if L=0—let L be
computed automatically.
User Defined Define your own expression (in
Symbolic view.)
y
L
1 ae
bx–
()
+
--------------------------
=
1.5 xcos× 0.3 xsin×+
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