Faktor-faktor yang Mempengaruhi Hasil Produksi Padi di Kota Medan Tahun 2016-2020 dengan Menggunakan Regresi Linear Berganda

Abstract

Regression analysis in statistics is used to determine the cause-and-effect relationship between one variable and another. If there is only one independent variable, the model used is simple linear regression, and if two or more than three variables are used, the model used is multiple linear regression. The purpose of this final project is to analyze the relationship between land area (X1), rainfall (X2), productivity (X3) to production (Y) using multiple linear regression analysis method. Indonesia is one of the countries with great agricultural potential. Medan City is one of the areas that has succeeded in developing the agricultural sector. Rice is one of the main food ingredients in the city of Medan. With production data from 2016- 2020 it will be known the magnitude of the impact of land area, rainfall, productivity on rice production. By using multiple linear regression, . The most influencing of rice production is rainfall.