판별분석에 의한 외식기업 부실예측모형의 예측력 평가

Evaluation of Prediction Power for Distress Prediction Model in Food Service Industry by Discriminant Analysis

This study aims to; first, develop distress prediction model for the food service industry in Korea by using discriminant analysis, second, evaluate distress prediction capacity for the food service industry. The sample collected from year 2017 14 financial ratios of 46 food service enterprise in Korea, analyze these by t-test, and choose independent variables which, empirical study, evaluate distress prediction model by discriminant analysis. The verification result of the accuracy estimated by discriminant analysis indicates that the distress prediction model’s distress prediction capacity is 84.8%. To extract the factors that differentiate the top from the failed food service enterprise among the 14 chosen, t-test was utilized by independent variables and discriminant analysis used. As a result, 7 variables were statistically significant and are included in the discriminant analysis for discernment of top and failed food service enterprise.