HP (Hewlett-Packard) 50g ユーザーズマニュアル

Page 18-13

The general form of the regression equation is   

η = A + Bξ.

Best data fitting
The calculator can determine which one of its linear or linearized relationship 
offers the best fitting for a set of (x,y) data points.  We will illustrate the use of 
this feature with an example.  Suppose you want to find which one of the data 
fitting functions provides the best fit for the following data:

First, enter the data as a matrix, either by using the Matrix Writer and entering 
the data, or by entering two lists of data corresponding to x and y and using 
the program CRMC developed in Chapter 10.   Next, save this matrix into the 
statistical matrix 

ΣDAT, by using function STOΣ.

Finally, launch the data fit application by using: 

‚Ù˜˜@@@OK@@@ .   The 

display shows the current 

ΣDAT, already loaded.  Change your set up screen to 

the following parameters if needed:   

Press 

@@@OK@@@, to get:

3: '3.99504833324*EXP(-.579206831203*X)'
2: Correlation: -0.996624999526
1: Covariance: -6.23350666124

The best fit for the data is, therefore, y = 3.995 e

-0.58

⋅x

.

The application 4.

Summary stats..

 in the STAT menu can be useful in some 

calculations for sample statistics. To get started, press 

‚Ù once more, 

move to the fourth option using the down-arrow key 

˜, and press @@@OK@@@.  The 

resulting input form contains the following fields:

ΣDAT:

 

the matrix containing the data of interest.

x

0.2

0.5

1

1.5

2

4

5

10

y

3.16 2.73 2.12 1.65 1.29 0.47 0.29 0.01