The Tea Yield Prediction Model Based on SPSS Statistical Software in Rizhao City

According to the data of meteorological and tea production from 1993 to 2008 in Rizhao city in Shandong province,correlation analysis of tea production and climatic factors was counducted by using the SPSS statistical software.Five high correlation factors,namely,sunshine hours,15cm ground temperature in July,20cm ground temperature in July,average maximum temperature in July,average maximum temperature in August were selected and established the multiple regression models.Then the production of calendar year is tested.The results showed that tea yield can be forecasted and fits a higher rate of actual yield,and the maximum prediction accuracy can be up to 100%,and the smallest accuracy is 86% with the average accuracy of 94%.The prediction model has high accuracy and practicality,and can be used as an effective tool for prediction of tea production.