Regression calculation (REG mode)
Note!
Use the
key to activate Reg mode to complete statistical
calculations with regressions. REG:
Linear regression
Logarithmic regression
Exponential regression
Power regression
Inverse regression
Quadratic regression
Data input always starts with
l
The values produced by a regression calculation depend on the
l
values input, and results can be recalled using the key operations
shown in the table below.
Linear regression
The regression equation for linear regression is: y = A+Bx.
Example 1.: Atmospheric pressure vs. temperature
Perform linear regression to determine the
Tempera-
Atmosphe-
regression formula terms and correlation
ture
ric pressure
coefficient for the data nearby. Next, use the
10°C
1003 hPa
regression formula to estimate atmospheric
15°C
1005 hPa
pressure at 18°C and temperature at 1000
20°C
1010 hPa
hPa.
25°C
1011 hPa
30°C
1014 hPa
to clear statistical memory.
Regression coefficient A
Regression coefficient B
Regression coefficient C
Correlation coefficient r
(estimated value of x) p
(estimated value of y) t
15