Logistic Regression Analysis to Know the Factors Affecting the Financial Knowledge in Decision of Investment Non Riil Assets at University Investment Gallery

The large population of Indonesia is not an indication of the increasing number of investors in Indonesia, especially investors in non-real assets. This study aims to investigate the variable causes of non-real asset investment decisions. The population used in this research is university students who have an investment gallery and registered as an investor at university investment gallery in Aceh, North Sumatera, West Sumatera and Pekan Baru, Riau using Lemeshow formulation for the sample size. Dependent variable in this research is non asset investment decision, while independent variable are gender, education level, and availability of financial advisory. This research uses binary logistic regression approach. The samples used in this study were 384 samples selected by the Lemeshow formulation method. The test results with binary logistic regression on the designed model, ie there is one predictor variable that significantly affects the non-real asset investment decision is the variable availability of financial advisors