•The values in the above tables can be used inside of expressions the same way you use variables.

uLinear Regression

•The regression formula for linear regression is: y = A + Bx.

•Example: Atmospheric Pressure vs. Temperature

Temperature

Atmospheric

Perform linear regression to de-

Pressure

termine the regression formula

 

10°C

1003 hPa

terms and correlation coefficient

15°C

1005 hPa

for the data nearby. Next, use

20°C

1010 hPa

the regression formula to esti-

25°C

1011 hPa

mate atmospheric pressure at

30°C

1014 hPa

18°C and temperature at 1000

 

 

 

 

hPa. Finally, calculate the coeffi-

 

 

cient of determination (r2) and

 

 

sample covariance

 

 

 

 

 

 

.

 

 

 

In the REG Mode:

 

1(Lin)

 

AB1(Scl) =(Stat clear)

REG

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 P1011 S

30 P1014 S

Regression Coefficient A = 997.4

A Xrr 1=

Regression Coefficient B = 0.56

A Xrr 2=

Correlation Coefficient r = 0.982607368

A Xrr 3=

Atmospheric Pressure at 18°C = 1007.48

 

18 AXr rr 2=

Temperature at 1000 hPa = 4.642857143

1000 AXr rr 1=

E-26