A Regression Analysis of Electric Consumption of Households in Mangaldan, Pangasinan

Abstract

This study shows a regression analysis of the electric consumptions of every household in the municipality of Mangaldan. The data were collected using survey questionnaires with 52 sample size that is divided according to the number of population of the chosen ten barangay of Mangaldan and accompanied by an actual interview. The questionnaires composed of questions related to the consumption and the habits of the family member of every household on saving electric consumption, these questions was used identify and show factors that affect the consumption of electric. The researchers used Descriptive Statistics and Regression Analysis. Furthermore, Econometric Views (EVIEWS), a statistical program designed to help the researchers in the management of the quantitative data was also used. Four factors, that is, age, number of appliances, household size, and monthly income of the household had been tested to establish the significant factors that are relevant to the consumption of electric in Mangaldan. As a result, two models have been successfully established as a best model with respect to each model category. The factors that caused the electric consumption of every household in a non-log dependent variables are appliances and income. For the log dependent variable(s), income is the only factor. These two models were tested through satisfying the seven assumption of multiple linear regression model, and compared its info-criterion (akaike and Schwarz) and adjusted R-squared from the other model.