Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/11529
Title: Forecasting Election Results Using Least Square Method: The APC Buhariyya Regime.
Authors: Bawa, Musa
Adewuyi, S
Enagi, Abdullah Idris
Abubakar, B
Wanchiko, B
Keywords: Buhariyah
Forcasting
Election
Square Method
Issue Date: Mar-2017
Publisher: African Scholars Journal of Engineering and Technology Research. (AJETRA)
Citation: Bawa M., Adewuyi S. O. Enagi A. I., Abubakar B & Wachiko B. (2017). Forecasting Election Results Using Least Square Method: The APC Buhariyya Regime.
Series/Report no.: 6 (2);166-185
Abstract: The subject of regression analysis concerns the study of relationship among variables for the purpose of constructing models for prediction and making other inferences. This research work develops a mathematical model equation that helps in forecasting election results using Least Square Regression. Data on 2015 Nigeria Presidential election results were sourced from the Independent National Electoral Commission (INEC) to validate the model and result revealed the global usefulness of the model with standard error of 49.46 and coefficient of determination 0.064. the equation of the fitted regression line is y=-0.226x+59.78, with slope of -0.226.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/11529
ISSN: 0127-8317
Appears in Collections:Mathematics

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