• Linear regression
The regression formula for linear regression is: y=A+B
x
.
•
Example:
Atmospheric Pressure vs.Temperature
Temperature Atmospheric Perform linear regression to determine the regression
formula terms and correlation coefficien for the data nearby.
Next, use the regression formula to estimate atmospheric
pressure at 18°C and temperature at 1000hPa. Finally,
calculate the coefficient of determination (r2) and sample
covariance.
10°C
1003 hPa
15°C
1005 h Pa
20°C
1010 hPa
25°C
1011 hPa
30°C
1014 hPa
In the REG Mode:
Each time you press
to register your input,
the number of data input up to that point is
indicated on the display (n value).
Regression coefficient A=
997.4
Regression coefficient B=
0.56
Correlation coefficient r=
0.982607368
Atmospheric pressure at 18
°
C =
1007.48
Temperature at 1000 hPa=
4.642857143
Coefficient of determination=
0.965517241
Sample covariance =
35
(Stat clear)
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