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