Casio fx-100W, fx-115W, fx-570W, fx-991W qq 2, •Quadratic Regression, 10°C, 15°C, 20°C, 25°C, 30°C, E-22, 18 A b, 1003 hPa, 1005 hPa, 1010 hPa, 1011 hPa, 1014 hPa, 1000 A O, 30 P1014 S

• Example: Atmospheric Pressure vs. Temperature

Temperature	Atmospheric	Perform linear regression to de-
	Pressure	termine the regression formula
10°C	1003 hPa
		terms and correlation coefficient
15°C	1005 hPa
		for the data nearby. Next, use the
20°C	1010 hPa
		regression formula to estimate at-
25°C	1011 hPa
		mospheric pressure at 18°C and
30°C	1014 hPa
		temperature at 1000 hPa.
Enter REG Mode (Linear Regression)
qq 2 1
A m =(Memory Clear)
10 P1003 S 15 P1005 S
20 P1010 S 25 P1011 S
	30 P1014 S		30.00
			REG
		A q=
(Regression Coefficient A)			997.400
		A w=
(Regression Coefficient B)			0.5600
(Correlation Coefficient r)		A J=	0.98260736800
		18 A b
(Atmospheric Pressure at 18°C)			1007.4800
(Temperature at 1000 hPa)		1000 A O	4.64285714300

•Quadratic Regression

•The regression formula for quadratic regression is: y = A + Bx +Cx2.•Input data using the following key sequence. <x-data> P<y-data> S

•Example:

xi yi

291.6

5023.5

7438.0

10346.4

11848.0

Perform quadratic regression to determine the regression formula terms and correlation coefficient for the data nearby. Next, use the regression formula to estimate the values for yˆ (es- timated value of y) for xi = 16 and ˆx (estimated value of x) for yi = 20.

E-22