Analysis of Economic Factors on Food and Non-Food Expenditure Consumption in North Sumatra Using Multiple Linear Regression Test

Yan Batara Putra Siringoringo (Universitas Sumatera Utara)

Formosa Journal of Applied Sciences (FJAS)
Vol. 4 No. 7 (2025): July 2025

Multiple linear regression is one commonly used method in predicting, knowing the influence of several variables at once, predicting the value of dependent variables, and as a control variable. In its application, it is very widely used in the economic field. This study examines the influence of various factors on food and non-food consumption in North Sumatra from 2011-2022. Dependent variables include economic growth, inflation, human development index, unemployment rate, and poor population. The model equation using multiple linear regression is Ŷ = -6.268 + 0.000X1 - 0.004X2 + 0.105X3 + 0.028X4 - 0.036X5 then on the simultaneous test (F-test) shows F-count 167.91 > F-table (4.39). While the value (R2) was 0.993, indicating that independent variables affected 99.3% of the variation in consumption, with 0.7% explained by other factors. The double correlation between the free and bound variables was 99.6%.