Renkforce RF-CA-240 - Page 24

• Linear regression
The regression formula for linear regression is: y=A+Bx.
• Example: Atmospheric Pressure vs.Temperature
Temperature Atmospheric Perform linear regression to determine the regression
formulatermsandcorrelationcoefcienforthedatanearby.
Next,usetheregressionformulatoestimateatmospheric
pressure at 18°C and temperature at 1000hPa. Finally,
calculate the coefcient 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coefcientA=997.4
RegressioncoefcientB=0.56
Correlationcoefcientr=0.982607368
Atmospheric pressure at 18°C = 1007.48
Temperature at 1000 hPa= 4.642857143
Coefcientofdetermination=0.965517241
Sample covariance = 35
(Stat clear)
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