Study On The Taste Preference Of Wine Consumers

Recently,Chinese wine consumption market is at the initial stage,for the first time,this paper study the wine consumers taste preferences with the statistical method.Through the statistical analysis of the Chinese wine consumers’ taste preference and the influencing factors of taste preference,the paper analyzes the relationship between the acidity,sweetness,bitterness,state and age of the wine,and studies the influence of age,education,gender,income,dietary tastes preferences and the frequency of alcohol consumption to the wine consumers’ taste preferences,and establishes mathematical models to describe the extent of this impact,and then predict the wine consumers,taste preferences.To study the relationship between the acidity,sweetness,bitterness,state and age of the wine,we conduct the independence test of the contingency table,and draw the conclusion that the preference of acidity is related to the preference of bitterness,and is not related to the preference of sweetness,state and age.The preference of sweetness,bitterness,state and age are correlated with each other.Then we evaluate the Apriori algorithm to obtain correlate rule analysis,and find that consumers who prefer bitter taste,would prefer acidity taste with the most probability of 39.12%,and would prefer still wine,semi-sweet wine,young and lively fruit Wine with the probability of 25.21%,19.22%and 17.45%,respectively.To study the influence of age,education,gender,income,diet taste preferences and the frequency of drinking on wine consumers’ taste preferences,we develop one-way analysis of variance,and obtain the influence analysis of age,education,gender,income,diet taste preferences and the frequency of drinking,respectively.For example,gender factors have a significant effect on the preference of sweetness and age,but are not significant for the preference of bitterness,acidity and state.The two-factor analysis of variance can be used to analyze the influence degree of the two groups of factors on the wine consumers’ taste preference.For example,different consumers’ sex and different frequencies of drinking result in the significant difference of the mean value of the preference of sweetness,and different sex consumers with different frequencies of drinking lead to the significant difference of the mean value of the preference of sweetness.We build multivariate logistic regression and ordered logistic regression model to describe the influence of age,education,gender,income,diet taste preferences and the frequency of drinking on wine consumers’ taste preference.According to the model results,it is likely to predict the wine consumers’ taste preference by obtaining information such as age,education,sex,income,dietary taste and drinking frequency.Finally,the conclusion of the full text is made,and relevant policy recommendations is suggested,and the limitations of the study is pointed out...