Predicting Iran Cement Industry Performance by Using logistic regression

The purpose of this study was to investigate predicting Iran Cement Industry performance in Tehran stock Exchange. Predicting performance based on profitability, liquidity, leverage financial were formulated using SPSS® statistical software.Financial data available on all 28 cement company were input to logistic regression to build the algorithms. the results indicate that variables(A,B,C,D,E,F,G,H) have significant effect on the performance.