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MultiVariable Regression
Multivariable regression analysis of up to four independent variables.  Each independent variable is solved, plotted, and a correlation coefficients calculated. Plots are normalized for each variable to show linearity, or goodness of fit.
CaCO3 -> CaO + CO2
NaCl + NH3 + CO2 + H2O -> NaHCO3 + NH4Cl
2 NaHCO3 -> Na2CO3 + H2O + CO2
CaO + H2O -> Ca(OH)2
Ca(OH)2 + 2 NH4Cl -> CaCl2 + 2 NH3 + 2 H2O

Screen shot of Multivariable Regression application
Features:
Up to four independent variables can be entered and analyzed.
Up to 200 data sets can be input for regression analysis
Correlation coefficients for each independent variable are calculated
Plots of each independent variable are presented for linearity
New values of S can be calculated from input variable data
Instructions for the software application is presented