Abstract
Polynomial regression models are useful in situations in which the relationship between a response variable and predictor variables is curvilinear. Polynomial regression fits the nonlinear relationship into a least squares linear regression model by decomposing the predictor variables into a kth order polynomial. The polynomial order determines the number of inflexions on the curvilinear fitted line. A second order polynomial forms a quadratic expression (parabolic curve) with either a single maximum or minimum, a third order polynomial forms a cubic expression with both a relative maximum and a minimum. This study used paddy data in the area of Perlis to model paddy production based on paddy cultivation characteristics and environmental characteristics. The results indicated that a quadratic regression model best fits the data and paddy production is affected by urea fertilizer application and the interaction between amount of average rainfall and percentage of area defected by pest and disease. Urea fertilizer application has a quadratic effect in the model which indicated that if the number of days of urea fertilizer application increased, paddy production is expected to decrease until it achieved a minimum value and paddy production is expected to increase at higher number of days of urea application. The decrease in paddy production with an increased in rainfall is greater, the higher the percentage of area defected by pest and disease.
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Claims 5
Claim · model-written summary
A quadratic regression model best fits the paddy production data of the area of Perlis.
Not reportedDirection
Verbatim
e1“This study used paddy data in the area of Perlis to model paddy production based on paddy cultivation characteristics and environmental characteristics”
e2“a quadratic regression model best fits the data”
Claim · model-written summary
Paddy production is affected by urea fertilizer application.
Not reportedDirection
Verbatim
e2“The results indicated that a quadratic regression model best fits the data and paddy production is affected by urea fertilizer application and the interaction between amount of average rainfall and percentage of area defected by pest and disease”
Claim · model-written summary
Paddy production is expected to decrease with more days of urea fertilizer application until a minimum value is reached.
Verbatim
e3“Urea fertilizer application has a quadratic effect in the model which indicated that if the number of days of urea fertilizer application increased, paddy production is expected to decrease until it achieved a minimum value and paddy production is expected to increase at higher number of days of urea application”
Claim · model-written summary
Paddy production is expected to increase at a higher number of days of urea application.
Verbatim
e3“Urea fertilizer application has a quadratic effect in the model which indicated that if the number of days of urea fertilizer application increased, paddy production is expected to decrease until it achieved a minimum value and paddy production is expected to increase at higher number of days of urea application”
Claim · model-written summary
The decrease in paddy production with increased rainfall is greater where the percentage of area defected by pest and disease is higher.
Verbatim
e4“The decrease in paddy production with an increased in rainfall is greater, the higher the percentage of area defected by pest and disease”