Analisis Faktor-Faktor yang Mempengaruhi Produksi Jagung Dikabupaten Deli Serdang Menggunakan Metode Regresi Ordinary Least Square (OLS)

Abstract

In Statistics Regression analysis is defined as one of the methods used to determine cause-and-effect relationships between one variable and another. Regression consisting of only one independent variable and one dependent variable is called simple linear regression and if there is more than one independent variable it is called multiple linear regression. In this study the authors aim to analyze the effect of land area (X1), productivity (X2), rainfall (X3) on the amount of corn production using the ordinary least squares (OLS) regression analysis method using secondary data from 2013 – 2022 which obtained from the BPS website. From the results of the study, the effect of the independent variables was 99.90% where of the three variables, land area and productivity were the factors that most influenced the amount of corn production in Deli Serdang Regency. Based on the results of statistical analysis, it can be said that the OLS model is very relevant in explaining maize production where this model successfully passed the assumption test (normality, multicollinearity, heteroscedasticity, autocorrelation), f test, and significant t test.