Quantitative assessment of brand promotion effect of agricultural products based on multiple regression analysis

The article firstly combed the relevant factors affecting the effect of brand promotion of agricultural products, and after collecting the relevant data, it used principal component analysis to reduce the dimensionality of the characteristic factors affecting the effect of brand promotion of agricultural products. After determining the factors influencing the effect of agricultural brand promotion, the assessment model was established by using the multiple linear regression model, and the assessment test and model fitting were carried out on the model. The main findings of the article are: in the principal component coefficient matrix analysis, the three indicators of cycle continuity, product reliability, and information exhaustiveness are the first principal component, and their contribution rate is 42.24%. Project innovativeness, cycle continuity, product reliability, information exhaustiveness, project word-of-mouth, initiator’s word-of-mouth, financing effect, and number of initial fans all positively influence the effect of agricultural brand promotion.