E-21
•Linear Regression
The regression formula for linear regression is: y ҃ A ѿ Bx.
• Example: Atmospheric Pressure vs. Temperature
Perform linear regression to deter-
mine the regression formula terms
and correlation coefficient for the
data nearby. Next, use the regres-
sion formula to estimate atmos-
pheric pressure at 18°C and tem-
perature at 1000 hPa.
Enter REG Mode (Linear Regression)
fx-85W:
q q 2 1
Other models: q 3 1
A m = (Memory Clear)
10
P1003 S 15 P1005 S
20 P1010 S 25 P1011 S
30 P1014 S
(Regression Coefficient A) A q =
(Regression Coefficient B) A w =
(Correlation Coefficient r) A J =
(Atmospheric Pressure at 18°C) 18 A b
(Temperature at 1000 hPa) 1000 A O
•Quadratic Regression
• The regression formula for quadratic regression is:
y = A + Bx +Cx
2
.
•Input data using the following key sequence.
<
x-data> P <y-data> S
Tem perature
Atmospheric
Pressure
10°C 1003 hPa
15°C 1005 hPa
20°C 1010 hPa
25°C 1011 hPa
30°C 1014 hPa
1007.48
00
4.642857143
00
30.
00
997.4
00
0.56
00
REG
0.982607368
00