Regression Analysis - Linear model: Y = a + b*X
-----------------------------------------------------------------------------
Dependent variable: V_AE
Independent variable: F_AE
-----------------------------------------------------------------------------
Standard T
Parameter Estimate Error Statistic P-Value
-----------------------------------------------------------------------------
Intercept 0.445682 0.0473052 9.4214 0.0000
Slope 0.0892216 0.000226863 393.284 0.0000
-----------------------------------------------------------------------------
Analysis of Variance
-----------------------------------------------------------------------------
Source Sum of Squares Df Mean Square F-Ratio P-Value
-----------------------------------------------------------------------------
Model 1861.04 1 1861.04 154672.18 0.0000
Residual 0.132354 11 0.0120321
-----------------------------------------------------------------------------
Total (Corr.) 1861.17 12
Correlation Coefficient = 0.999964
R-squared = 99.9929 percent
R-squared (adjusted for d.f.) = 99.9922 percent
Standard Error of Est. = 0.109691
Mean absolute error = 0.0888857
Linear model:
V_AE = 0.445682 + 0.0892216*F_AE