This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Hassoun, V. S. Articles by Hunt, F. E. Search for Related Content Social Bookmarking                         What's this?

Electric Energy Usage in the Home: A Predictive Model

Home Management and Family Economics, North Dakota State University, College of Home Economics, Fargo 58102

Fern E. Hunt

Home Management and Housing, School of Home Economics, The Ohio State University, 1787 Neil Avenue, Columbus 43210

A predictive model for total electric energy (in kilowatt-hours) used in household operation based upon information on ownership of selected electric home equipment and selected char acteristics of a sample of 195 families was developed. Participants met the following criteria: (1) at least two related persons living in the household, (2) no business operated from the premises (unless the electricity was metered separately), (3) all single family houses, (4) no part of the house rented, (5) no electric heat or central electric air conditioning. The dependent variable was the amount of electricity (kilowatt-hours) used for the year June, 1975, through May, 1976. Stepwise multiple regression analysis was employed to determine the predictive equation Y¹ = -249 + 672X₁ + 3463X₂ + 925X₃ + 25X₄ where Y¹ = predicted electric energy usage, X₁ = number of electric major appliances owned, X₂ = water heater type (non- electric, electric), X₃ = household size (number of persons in the household), X₄ = employ ment (number of hours per week the home manager is employed outside the home), R² = 0. 54, p = 0. 0001. Other variables considered in the analysis but which did not explain at least 1 percent of the variation in the amount of electrical energy used were location (urban or rural), education of home manager, score for knowledge of electrical concepts and terminol ogy and number of small electric appliances owned.

(Home Economics Research Journal, March 1980, Vol. 8, No. 4)

Family and Consumer Sciences Research Journal, Vol. 8, No. 4, 252-260 (1980)
DOI: 10.1177/1077727X8000800403


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?