HP 48gII Graphing Calculator Manual de usuario descargar pdf (Pagina 583)

Indep. Depend.

Type of Actual Linearized variable Variable Covar.

Fitting Model Model

Linear y = a + bx [same] x y s

Log. y = a + b ln(x) [same] ln(x) y s

Exp. y = a e

ln(y) = ln(a) + bx x ln(y) s

Power y = a x

ln(y) = ln(a) + b ln(x) ln(x) ln(y) s

The sample covariance of ξ,η is given by

Also, we define the sample variances of ξ and η, respectively, as

The sample correlation coefficient r

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

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

Sin comentarios

HP 48gII Graphing Calculator Manual de usuario Pagina 583