Analysis of Relationship Between Personality and Favorite Places with Poisson Regression, ZINB Regression, and Quantile Regression

摘要

Relationships between human personality and preferred locations have been a long conjecture for human mobility research. In this paper, we analyzed the relationship between personality and visiting place with Poisson Regression, Zero Inflated Negative Binomial regression, and Quantile regression. Poisson Regression can analyze correlation between countable dependent variable and independent variable. For this analysis, 33 volunteers provided their personality data and 49 location categories data are used. Raw location data is preprocessed to normalize into rates of visit, and outlier data is calibrated. For the regression analysis, independent variables are personality data and dependent variables are preprocessed location data. Several meaningful results are found. For example, persons with high tendency of frequent visiting to university laboratory has personality with high conscientiousness and low openness. As well, other meaningful location categories are presented in this paper. Zero Inflated Negative Binomial Regression is a usually good method for data with many zero values. As well, data are divided into quantiles and Quantile regression is applied. These three results are compared in order to verify the result of Poisson regression.