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10 1003
• The values in the above tables can be used inside of expressions the
same way you use variables.
Linear Regression
• The regression formula for linear regression is: y = A + B x .
Example: Atmospheric Pressure vs. Temperature
Perform linear regression to determine the regression formula terms and
correlation coefficient for the data below.
Temperature Atmospheric Pressure
10°C 1003 hPa
15°C 1005 hPa
20°C 1010 hPa
25°C 1011 hPa
30°C 1014 hPa
Next, use the regression formula to estimate atmospheric pressure at -5°C
and temperature at 1000 hPa. Finally, calculate the coefficient of
determination (r
2
) and sample covariance (
∑
xy - n ∙ x
-
∙ y
-
n - 1
).
In the REG Mode:
(Lin)
(CLR) (Scl) (Stat clear)
Each time you press to register your input, the number of data input up
to that point is indicated on the display ( n value).
15 1005 20 1010 25 1011 30 1014
Regression Coefficient A = 997.4
(S-VAR)
(A) 997.4
Regression Coefficient B = 0.56
(S-VAR) (B) 0.56
Correlation Coefficient r = 0.982607368
(S-VAR) (r) 0.982607368
48
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