Casio fx-83MS - Manual (Page 28)

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 ȕ5°C = 994.6
E D 5 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