The Philippines, with a total land mass of 115,124 square miles comprises 1.41% of the total world population (Worldometers.info, 2020) resulting to the population density of the country with roughly 368 people per km². The busy domain of metropolitan Manila, however, with a concentration of people of 20,785 per km² was the most densely populated administrative region of the country. This number is more than 60 times the population density at national level of 337 people per km². Following the lead is Region IV-A: CALABARZON, with approximately 758 persons per km². In consonance with Republic Act No. 11285 of the Republic of the Philippines, also known as “Energy Efficiency and Conservation Act”, institutionalizing energy efficiency and conservation, enhancing the efficient use of energy, and granting incentives to energy efficiency and conservation projects, it is of utmost importance to encourage and support the production and use of successful technologies and systems for renewable energy to guarantee the optimum usage and sustainability of the energy resources of the nation. Uninterrupted power supply is delivered to the most densely populated and economically important "ongrid" islands by two major electrical grids (IRENA, 2017b). The remaining non-electrified lands ('missionary areas') are a significant number of remote islands without a power source or informal electricity supply. 
This research is intended to determine which among the predictor variables have effects on the energy consumption cost of Filipino households. A survey design with random sampling was conducted in NCR and Region IV-A to assess the quantifiable metrics and behavioral attributes of the dwellers. By offering two subsets, circumscribed and influenced, involving two variables each, the analysis can assess the sample more systematically as the estimated monthly electric bill was labeled as the dependent factor in the study. Using Pearson Correlation and Stepwise Multiple Regression, the significant factors that influence and disturb the energy consumption cost of Filipino households were determined. Moreover, the relationship among the predictor variables which plays a role on the study were also tested. This study, applies to household activities conventional electricity and does not involve other renewable energy sources such as solar, hydraulic, and wind. 
The study is quantitative as it quantifies the demographics, description of a certain entities, attitudes, expectations, behaviors, and other defined variables with the goal of promoting or refuting theories about a specific phenomenon. In this case, the in-home energy consumption & conservation of Filipino households. Data collected from random sampling with 400 targeted respondents from the National Capital Region and Region IV-A were filtered. Based on the results, there are indeed factors from every subset that influence the monthly electric bill of households. The outcome from the analysis determined the percent of effect of the variables that affect the monthly energy consumption cost of households
Keywords – Energy Consumption/Conservation; Filipino Household; Stepwise Regression; Philippine Electricity; Behavioral Attribute