Highlights
Introduction
Media applications such as Facebook, YouTube, and Newspaper are essential platforms for businesses to promote their products or services. With the increasing use of social media and digital technologies, understanding the sales performance of these platforms has become crucial to the success of businesses. Me having a keen interest and passion for business, consistently staying up to date on industry trends, and my eagerness to expand my knowledge and expertise in the field, motivates me to look at such tendencies.
The objective of this report is to provide an overview of the sales performance of Facebook, YouTube, and Newspaper and identify key trends and insights drawn from the dataset analysis. This will be done through multiple linear regression where we model a regression model using the dependent variable and various independent variables. The data set chosen is the marketing data set.
Aim
The aim of the regression model is to check which variables are significant to predict the sales.
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