This analysis uses ARIMA method for evaluation of the data sets. To find out the variance, adjusted R^2 value is calculated to observe whether the regression line passes as many data points. When R equals near zero, it means that the fit does not capture as many points and when adjusted R^2 equals one the line passes majority of the points. The Chi square is also calculated to evaluate the data error estimate to acceptable or too good. Chi of one means error estimate is acceptable and zero means error estimate is too unrealistic.