关键词: 茶树良种, 生物产量, 回归模型, 相关, 光合特性, 预测

Abstract: Several multivariate statistical methods(stepwise regression, path analysis and principal component analysis) have been applied to the data of "Relationship between biological yield and photosynthetic charateristics of young tea plants (table 1)". The result showed that the direct main reason of affecting tea biological yield was stoma conductivity (X₂) and leaf dry weight per tea plant (X₆), and that tie optimal predicative regression model of biological yield for excellent young tea plants was Ŷ=-0.2369+26.5849X₃+l.9647X₆, which indicates that it is an obvious mistake for relative multivariate to leave out some variate with simple relative analysis.

Key words: EXCELLENT TEA YOUNC, BIOLOOICAL YJELD, REGRESSION MODEL, CORRELATION, PHOTOSYNTHETIC CHARACTERICS, PREDICTIVE