Fit models

To define your own fit

Eight fit models are available:

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 = bemx.

Power

Fits to a power curve, y = bxm.

Quadratic

Fits to a quadratic curve,

 

y = ax2+bx+c. Needs at least three

 

points.

Cubic

Fits to a cubic curve,

 

y = ax3+bx2+cx+d. Needs at least

 

four points.

Logistic

Fits to a logistic curve,

 

L

 

y = -------------------------- ,

 

1 + ae(b x )

 

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.)

 

 

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: 1.5 cos x + 0.3 sin x .

This automatically changes the Fit type (S1FIT, etc.) in the Symbolic Setup view to User Defined.

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Statistics aplet

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HP 40G manual Fit models To define your own fit, Fit model Meaning, = m lnx + b, = ax3+bx2+cx+d. Needs at least