Climatic Effects on Major Oilseed Crops Production in Bangladesh: An Application of Multiple Regression Model

Abstract

Climate has most vital effects on different agricultural crop production and sometimes climatic factors are main natural factors for crop production. In this study, it is tried to measure the climatic effects on different major oilseed crops production in Bangladesh. The main purpose of this study is to develop the Multiple Regression Model which is a well-established model to measure cause and effect relationship among the variables under study. To conduct this study, amount of land area corresponding year’s production under study is the most important variable which should not be avoided because without including this variable appropriate model couldn’t be fitted and from the study it is found that it has positively significant effects on each oilseed crop production. From the study, it is found that the value of R-square for Mustard, Linseed and Groundnut production are 0.9858, 0.9362 and 0.9039 respectively which are indicated that most of the variability can be explained by the climatic variables under study. From the global model validation test, it is clear that these models are valid linear regression model.

Keywords: Climatic Effects, Oilseed crops, Multiple Regression Model and Bangladesh.