Correlation Analysis Between Cereal Food Consumer Ratings and Nutritional Composition

Abstract

Since contemporary information-retrieval systems rely heavily on the content of titles and abstracts to identify relevant articles in literature searches, great care should be taken in constructing both. With the popularization of food safety and health knowledge, consumers are increasingly concerned about the nutritional value of food. Research has shown that when consumers purchase food products, the nutritional composition table on the food packaging can affect their purchasing intention. Therefore, it is important to explore the impact of various factors in the ingredient table on consumer ratings and purchase intentions. The paper takes nutritional data of cereal products as a sample to investigate customer ratings of different products and conduct regression analysis and correlation research between ratings and nutritional components of cereal products. Based on the obtained regression equation, the paper predicts the rating of cereal products on the market. The paper finds that there is a correlation between consumer ratings and nutritional composition in the cereal product. Using regression equations to predict the test set, the prediction accuracy is good, which indicates that we can refer to the nutritional composition table of cereal products to roughly predict the consumer ratings of products in the market. Based on research, cereal manufacturers can attract consumers to purchase products by optimizing brand promotion strategies, enhancing brand image, and other means. Also, manufacturers can also choose high protein and low fat cereal raw materials to meet consumer demand and expand market consumption of cereal products.