Multiple regression analysis on cocoa yield in Upper Denkyira East Municipal Assembly
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Date
2019-10
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KNUST
Abstract
The purpose of this study is to indicate how significant the given predictor variables are to cocoa yield and to develop a model that can be used to predict cocoa yield annually. Secondary data for this research was obtained from the farmers, PBC, and Cocoa Abrabopa and the World Bank data website. The dependent variable was cocoa yield of Upper Denkyira East Municipality, and the independent or explanatory variables used were the application of fertilizer per year, number of times applied insecticides per year, land size in acres, and the number of labor applied per year. The was then tested to make sure that it satisfied all the possible assumptions of a good regression data using Anderson-Daring’s test, and related plots. Regression Analysis was then used to further analyze the data using R-code as a tool. In conclusion, the regression model used to explain the significance of the independent variables; however, one of the five predictor variables was significant
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A THESIS SUBMITTED TO THE DEPARTMENT OF STATISTICS AND ACTURIAL SCIENCE, KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE DEGREE OF MASTER OF SCIENCE APPLIED STATISTICS