Casio fx-270MS User Manual page 28

• Example: Atmospheric Pressure vs. Temperature
Temperature
10°C
15°C
20°C
25°C
30°C
In the REG Mode:
1
(Lin)
A B 1
(Scl)
Regression Coefficient A = 997.4
Regression Coefficient B = 0.56
Correlation Coefficient
Atmospheric Pressure at
Temperature at 1000 hPa = 4.642857143
Coefficient of Determination = 0.965517241
Sample Covariance = 35
Atmospheric
Pressure
1003 hPa
1005 hPa
1010 hPa
1011 hPa
1014 hPa
=
(Stat clear)
10
Each time you press
r
= 0.982607368
5°C = 994.6
E D
5
1000
Perform linear regression to de-
termine the regression formula
terms and correlation coefficient
for the data nearby. Next, use
the regression formula to esti-
mate atmospheric pressure at
–5°C and temperature at 1000
hPa. Finally, calculate the coeffi-
cient of determination (
sample covariance
P S
1003
the number of data input up to that point is
indicated on the display (
P
20 1010
A X r r 1 =
A X r r 2 =
A X r r 3 =
F A X r r r 2 =
A X r r r 1 =
A X r r 3 K =
E A U r 3 ,
A U 3 - A X 1 -
A X r 1 F \
E A U 3 ,
E-26
.
REG
n=
S
to register your input,
P
15 1005
S P
25 1011
P
30 1014
1
r
2
) and
1.
n
value).
S
S
S
F =