Data analyzed: Data Table-1
1 .Equation

Equation:Polynomial: Second Order
Y=A + B*X  + C*X^2


2. Convergence

  -  The fit converged.

Even though the computer was able to converge on a best-fit curve, note that the standard error
values are rather wide in some cases. With some equations (especially bottom plateaus) you expect wide
variation. In other cases, large SE values suggests that the fit is not good or not unique. Consider
selecting a different equation, constraining one or more variables to a constant value, or collecting
more data points over a wider range of X values.

3. Options

-	No weighting (minimize absolute distances squared)
-	Convergence was reached when two consecutive iterations changed the sum-of-squares by less
than 0.01%.

Equation 1	
Best-fit values	
     A	-19.24
     B	0.01438
     C	2.5250e-006
Std. Error	
     A	27.44
     B	0.005399
     C	2.0580e-007
95% Confidence Intervals	
     A	-81.32 to 42.83
     B	0.002169 to 0.02659
     C	2.0590e-006 to 2.9900e-006
Goodness of Fit	
     Degrees of Freedom	9
     Rē	0.9969
     Absolute Sum of Squares	16619
     Sy.x	42.97
Data	
     Number of X values	12
     Number of Y replicates	1
     Total number of values	12
     Number of missing values	0