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

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%.