Casio 3950P User's Guide download pdf (Page 31)

E-29

•The values in the above tables can be used inside of expressions the

same way you use variables.

u Linear Regression

•The regression formula for linear regression is: y = A + Bx.

• Example: Atmospheric Pressure vs. Temperature

Perform linear regression to determine the

regression formula terms and correlation

coefficient for the data nearby. Next, use

the regression formula to estimate

atmospheric pressure at 18°C and

temperature at 1000 hPa. Finally, calculate

the coefficient of determination (r

) and

sample covariance .

•The following table shows the key operations you should use to recall

results in the case of quadratic regression.

To recall this type of value: Perform this key operation:

yσ

A X r 2

yσ

-1 A X r 3

Regression coefficient A A X r r 1

Regression coefficient B A X r r 2

Regression calculation other than quadratic regression

Correlation coefficient r A X r r 3

A X r r r 1

X r r r 2

To recall this type of value: Perform this key operation:

Σx

A U r r 1

Σx

y A U r r 2

Σx

A U r r 3

Regression coefficient C A X r r 3

A X r r r 1

A X r r r 2

X r r r 3

Temperature

Atmospheric

Pressure

10°C 1003 hPa

15°C 1005 hPa

20°C 1010 hPa

25°C 1011 hPa

30°C 1014 hPa

1 2 ... 26 27 28 29 30 31 32 33 34 35 36 ... 60 61

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Casio 3950P User's Guide Page 31

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