A Regression Analysis On The Impact Of Temperature And Relative Humidity On The Yield Of Yam In Abia State.

Authors: UGBOAJA MARTIN CHIEMENAM | Statistics Projects 39 pages 4,142 words

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ABSTRACT

In this project, the impact of temperature and relative humidity were evaluated in Abia state for the yield of yam for the past 19 years (1992-2010). A secondary data was collected from the National Root Crop Institute Umudike at Metrological unit and state statistical agency respectively. In this research work, multiple regression was used to analyze the data, the coefficient of multiple regression and residual plot was introduced to show how well the sample regression line fit the data and the adequacy of the fitted model. In testing the significance of the model, it was established at 5% level of significance that there exist a functional relationship between the yield of yam and climatic factors.

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