能量是我们日常生活的一部分，就像我们的DNA一样。我们每天都需要和使用能量——甚至比我们可能意识到的还要多——而且它以各种不同的形式存在。本分析将重点关注电形式的能量，它来自于带电粒子之间的电吸引或排斥引起的电荷流(Helmenstine, 2017)。既然能量是我们所知道的生活中如此重要的一部分，这个话题一次又一次成为头条新闻也就不足为奇了。《纽约时报》称，在最近的一项研究中，美国在全球23个能源消耗大国中能效排名第8，而根据联邦数据，美国通过简单浪费产生的电力多达三分之二被消耗(Cavanagh, 2017)。了解这些统计数据的影响并决定如何提高电能效率，首先要解释电能的需求和消耗。这个回归将寻求量化的影响选择变量的电能消耗,专门研究国内生产总值(GDP),国家人口和土地面积大小在多元化的世界各国,并作为参考和援助政策制定者在估计边际能源能力需要按照这些变量之间波动。我假设，一个国家的GDP、人口和土地质量的系数与全国每年的电能消耗相比是正的。
Energy is as much a part of us and our daily lives as is our very DNA. We need and use energy every single day – even more than we may realize – and it is available in an array of different forms. This analysis will focus on energy in its electrical form, where it is derived from the flow of electric charge caused by electrical attraction or repulsion between charged particles (Helmenstine, 2017).Since energy is such an essential part of life as we know it, it is not surprising that the topic has made headlines time and time again. The New York Times claims that, in a recent study, the United States was ranked eighth among twenty-three of the world’s top energy-consuming countries in efficiency, and that, according to Federal data, America loses as much as two-thirds of the power it generates through simple waste (Cavanagh, 2017). Understanding the impact of these statistics and deciding how to improve electric energy efficiency begins with interpreting the demand for and consumption of electric energy. This regression will seek to quantify the effects of a selection of variables on electric energy consumption, specifically examining Gross Domestic Product (GDP), national populations, and land area size across diversified countries around the world, and to serve as a reference and aid for policy makers in estimating marginal energy capacity needs in accordance with fluctuations among these variables. I hypothesize that the coefficients on a country’s GDP, population, and land mass are positive when regressed against national, annual electric energy consumption.