Comparison Study Between Simple and Multiple Regression Techniques in Forecasting Wheat in Iraq
DOI:
https://doi.org/10.36473/ujhss.v61i3.1628Keywords:
prediction, forecasting, simple regression, multiple regression, linear ratioAbstract
Wheat is one of the most important food crops in Iraq because it is the source of food for all societies and has the ability to adapt to many different environments. As a result of the development of the science of geography and the introduction of many techniques in this science in the field of geographical research, including statistical methods, a comparison between the simple and multiple regression techniques was used in this research to measure the prediction of wheat yield in governorates that are not organized in a region and to know the results convergenting from reality. The statistical method (simple and multiple regression) in measuring wheat crop yield in governorates that are not organized in a region and which of the two techniques is closer to the realistic results. We can predict the studied phenomenon. The researcher has studied wheat in all its aspects, so the area, production, productivity and spatial variations of each studied phenomenon were studied, which were divided into categories according to the value of the governorate. In this research, the rural population in the simple regression, the area and productivity, and the rural population in the Multiple regression, due to its direct connection with the phenomenon studied, as the increase and decrease of these factors increase and decrease the yield of wheat. The percentage of steps in it exceeds 10% in the vast majority of them.
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