Computer technology plays a prominent role in almost every aspect of daily life including education, health care, online shopping, advertising, and even in homes. Computers help to make daily tasks much easier and convenient. Among social media, YouTube is a well-known social sharing networking service. As more and more people join social media and become everyday users, brands have also increased their online engagement. However, it is still unclear how to effectively measure value and return on advertising using social media. As of 2021, more than 31 million YouTube channels around the globe have been opened. In this paper, we consider YouTube advertising to check its effectiveness and benefits gained. Certain statistical tools are adopted to measure the extent of advertising benefits and their correlation in creating effective advertising campaigns on YouTube. Simple linear regression analysis is performed on the data representing the YouTube advertising budget of a company and the sales data of that company. Furthermore, we develop a new statistical distribution to provide the best description of the YouTube advertising data. The result of this research shows that YouTube is an effective medium for advertising and has a strong relationship with sales.

中文翻译：

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使用回归分析和统计建模的 YouTube 广告对销售的影响：在线媒体在商业中的有用性

计算机技术在日常生活的几乎每个方面都发挥着重要作用，包括教育、医疗保健、网上购物、广告，甚至在家庭中。计算机有助于使日常工作变得更加轻松和方便。在社交媒体中，YouTube 是著名的社交分享网络服务。随着越来越多的人加入社交媒体并成为日常用户，品牌也增加了他们的在线参与度。然而，目前尚不清楚如何使用社交媒体有效衡量广告的价值和回报。截至 2021 年，全球已开通超过 3100 万个 YouTube 频道。在本文中，我们考虑 YouTube 广告以检查其有效性和获得的收益。我们采用了某些统计工具来衡量广告收益的程度及其在 YouTube 上创建有效广告活动的相关性。对代表某公司YouTube广告预算的数据和该公司的销售数据进行简单线性回归分析。此外，我们开发了一种新的统计分布，以提供对 YouTube 广告数据的最佳描述。这项研究的结果表明，YouTube 是一种有效的广告媒体，并且与销售有着密切的关系。