Journal of Environmental and Agricultural Studies

Yazarlar: Faycel Tazigh

Konular:-

DOI:10.32996/jeas.2020.1.2.4

Anahtar Kelimeler:Climate change,Agriculture,Impact,Adaptation,Multiple linear regression model

Özet: This paper aims to analyze the relationship that may exist between climate change and cereal yield in Morocco. In order to study this correlation between variables, we used the most common form of regression model which is the multiple linear regression model. There are two main uses of multiple linear regression model. The first one is to quantify the weight of impact that the independent variables had on the dependent variable. The second use is to predict not only the relationship that may found between variables but also their impacts. In our case, we have chosen temperature and precipitation as an independent variables and cereal yield as dependent variable.

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