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标题：Constructing the Best Regression Model for Maiwa Variety
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作者：F. Busari Abdullahi ; Abubakar Usman ; A.T. Cole 等
期刊名称：Pakistan Journal of Nutrition
印刷版ISSN：1680-5194
电子版ISSN：1994-7984
出版年度：2010
卷号：9
期号：4
页码：380-386
DOI：10.3923/pjn.2010.380.386
出版社：Asian Network for Scientific Information
摘要：As difficult as it can be to determine the plant attribute that contributes most to better yield of cereal crop named Maiwa. We use multivariate regression model to determine the contribution of Plant height (X₁); Number of leaves (X₂); Number of tillers (X₃) and Leafs area in square feet (X₄). Four multivariate regression models were developed by dropping each attribute. A data set collected from the Institute of Agricultural Research (IAR) Ahmadu Bello University, Samaru-Zaria was used for the analysis. Using each of the models to assess the contribution of each attribute, it was discovered that the Multivariate regression model that has the best fits of the data set, when covariates are dropped one after the other is Y = 0.02371 - 0.003111X₂ + 0.001759X₃ - 0.002503X₄. Thus, plant height (X₁) is an irrelevant plant attribute for the variety-Maiwa.