2015
DOI: 10.5897/ajest2015.1896
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Climate change and its effect on grain crops yields in the middle belt in Nigeria

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“…The stepwise regression is an approach to selecting a subset of effects for a regression model. This approach has been widely used in literature, with several authors preferring its application where little theory to guide the selection of terms for a model exists; or where there is the focus on predictors which interactively seem to provide a good fit; and where the performance of a model is to be improved by reducing the variance from unnecessary terms 42 46 . The stepwise regression also exempts variables of high multicollinearity (variance inflation factor—VIF) in the selection of the most relevant predictors, hence its adoption in this study.…”
Section: Methodsmentioning
confidence: 99%
“…The stepwise regression is an approach to selecting a subset of effects for a regression model. This approach has been widely used in literature, with several authors preferring its application where little theory to guide the selection of terms for a model exists; or where there is the focus on predictors which interactively seem to provide a good fit; and where the performance of a model is to be improved by reducing the variance from unnecessary terms 42 46 . The stepwise regression also exempts variables of high multicollinearity (variance inflation factor—VIF) in the selection of the most relevant predictors, hence its adoption in this study.…”
Section: Methodsmentioning
confidence: 99%