This study takes a closer look at some of the concerns of the general public and attempts to quantify some of the non-economical factors to assess whether anything can be done about them. Ten of the most important factors from economic formulas and models have been selected for use in the study. Regression models on the data were carried out. Sub-selection techniques have been used to try and eliminate some of the least important factors. This will simplify the model and simplify the calculations. The ten factors have been reduced to five, namely: politics, net-export, inflation, agriculture as part of the GDP and illiteracy. A linear programming model was constructed with the regression coefficients of the regression model for five factors. A set of constraints was also set up. The idea was also to try and predict the value of the GNP under these conditions. This study shows that a country's political system is the most important factor regarding the selection of the most important influence on an improved economic situation.