Casio FX-8700G Manuel du propriétaire télécharger pdf (Page 62)

On the TI calculators, the equation of the regression curve is

y  4.721  1.02

, where a  A, and b  x

. Pressing

JV¶

on the TI-81 and

¶¶

on the

TI-82/83 will give the value of B. The equation then can be written as

y  4.721e

0.0208x

On the Casio fx-7700GE, press

©º¡e™e

display the values of A and B. The equation for the regression curve is then

y  4.721e

0.0208x

Pressing

©º£e

on the Casio fx-7700GE,

V¶¶

on the TI-81, or

¶¶

on the TI-82 to

display the Pearson product-moment correlation value for the regression

equation. For this example, the value is 0.9836. From this, we can

conclude that the regression curve is an extremely good fit for the data.

A procedure similar to the one used for an exponential regression curve is used to

determine a polynomial equation to fit a set of data. The equation will be of the

form y  Ax

2 Use the data on populations given in Example 1 to find a polynomial

equation that best fits the data. Determine whether the exponential

regression curve or the power regression curve fits the data best.

Set the range parameters to [0, 225] by [0, 275] with scale factors of 25 on

both axes. Remember to clear the statistical memories and the graphics

screen of your Casio calculator. Clear the exponential regression equation

from the Y list, but do not clear the memories of your TI calculator since

the data does not need to be reentered.

Next enter the power regression mode on the Casio calculator.

Casio fx-7700GE:

SET UP

••••¢

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Casio FX-8700G Manuel du propriétaire Page 62