Casio fx-3650P, fx-3950P u Logarithmic, Exponential, Power, and Inverse Regression, AB1, EA Ur 3, A Xr r 1, A Xr r 2, A Xr r 3, A Xr 1 F, A Xr r 3 K, A U3 - A X1, EA U3 , 1 F

In the REG Mode:
1(Lin)
		REG
AB1(Scl) <(Stat clear)	10 P1003 S	n=
		1.
	Each time you press Sto register your input,
	the number of data input up to that point is
	indicated on the display (n value).
		15 P 1005 S
	20 P1010 S 25 P 1011 S
		30 P 1014 S
Regression Coefficient A = 997.4	A Xr r 1 <
Regression Coefficient B = 0.56	A Xr r 2 <
Correlation Coefficient r = 0.982607368	A Xr r 3 <
Atmospheric Pressure at 18°C = 1007.48	18 A Xr r r 2 <
Temperature at 1000 hPa = 4.642857143	1000 A Xr r r 1 <
Coefficient of Determination = 0.965517241	A Xr r 3 K <
Sample Covariance = 35	EA Ur 3 ,
	A U3 - A X1 -
	A Xr 1 F\
	EA U3 , 1 F<

u Logarithmic, Exponential, Power, and Inverse Regression

•Use the same key operations as linear regression to recall results for these types of regression.

•The following shows the regression formulas for each type of regression.

Logarithmic Regression	y  A  B ￿ In x
Exponential Regression	y  A ￿ eB·x (In y  In A + Bx)
Power Regression	y  A ￿ xB (In y  In A + BIn x)
Inverse Regression	y  A  B ￿ 1/x

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