F. Busari Abdullahi
Department of Mathematics/Computer Science, Federal University of Technology, Minna, Niger State, Nigeria
Abubakar Usman
Department of Mathematics/Computer Science, Federal University of Technology, Minna, Niger State, Nigeria
A.T. Cole
Department of Mathematics/Computer Science, Federal University of Technology, Minna, Niger State, Nigeria
ABSTRACT
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.
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How to cite this article
F. Busari Abdullahi, Abubakar Usman and A.T. Cole, 2010. Constructing the Best Regression Model for Maiwa Variety. Pakistan Journal of Nutrition, 9: 380-386.
DOI: 10.3923/pjn.2010.380.386
URL: https://scialert.net/abstract/?doi=pjn.2010.380.386
DOI: 10.3923/pjn.2010.380.386
URL: https://scialert.net/abstract/?doi=pjn.2010.380.386
REFERENCES
- Gardner, B.R. and T.C. Tucker, 1967. Nitrogen effects on cotton: I. Vegetative and fruiting characteristics. Soil Sci. Am., 31: 780-785.
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