Applications of Multiple Linear Regression in Social Medias Related Marketing

In a market, what the sellers care the most is their budgets and their sales. They need to know how to make more money. In order to do this, they need to find ways to compare different plans and the results they get from them. For selling products, advertisement is indeed an important part. This paper compares three different social medias, trying to decide which is the best way to invest for advertisement: newspaper, facebook, or youtube. By examining the regression statistics, this paper shows how to use multiple linear regression to make the best marketing decisions when it comes to advertising. Particularly in this case, the preferable order of spending budgets on the social medias for advertisement is facebook or youtube, and lastly newspaper. It also compares single and multiple linear regression, and it is found that the latter is more important. This paper provides people with helpful information to sell their products properly.