Casio fx-350MS Manual De Usuario

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E-26
• Example: Atmospheric Pressure vs. Temperature
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 (
r
2
) and
sample covariance
                              .
In the REG Mode:
1
(Lin)
A
 
B
 
1
 (Scl) 
=
 (Stat clear)
10 
P
1003 
S
Each time you press 
S
 to register your input,
the number of data input up to that point is
indicated on the display (
n
 value).
15 
P
 1005 
S
20 
P
1010 
S
 25 
P
 1011 
S
30 
P
 1014 
S
Regression Coefficient A = 
997.4
A X r r 1 =
Regression Coefficient B = 
0.56
A X r r 2 =
Correlation Coefficient 
r
 = 
0.982607368
A X r r 3 =
Atmospheric Pressure at 
5°C = 994.6
E
 
F A X r r r 2 =
Temperature at 1000 hPa = 
4.642857143
1000 
A X r r r 1 =
Coefficient of Determination = 
0.965517241
A X r r 3 K =
Sample Covariance = 
35
E A U r 3 ,
A U 3 - A X 1 -
A X r 1 F \
E A U 3 , 
1
 
F =
Temperature
Atmospheric
Pressure
10
°C
1003 hPa
15
°C
1005 hPa
20
°C
1010 hPa
25
°C
1011 hPa
30
°C
1014 hPa
1.
n=
REG