Data for Multiple Linear Regresion social media on Cost of Representation of the European Groups of Interest

This dataset provides a critical nexus between social media engagement and the financial dimension of European interest groups' representation costs. Designed to facilitate multiple linear regression analysis, this dataset is a valuable tool for researchers, statisticians, and analysts seeking to unravel the intricate relationships between digital engagement and the financial commitments of these interest groups. The dataset offers a robust collection of data points that enables the exploration of potential correlations, dependencies, and predictive insights. By delving into the varying levels of social media presence across different platforms and their potential influence on the cost of representation, researchers can gain a deeper understanding of the interplay between virtual engagement and real-world financial investment. Accessible to the academic and research community, this dataset holds the promise of shedding light on the dynamic and evolving landscape of interest groups' communication strategies and their financial implications. With the potential to inform policy decisions and strategic planning, this dataset represents a stepping stone toward a more comprehensive understanding of the intricate web of relationships that shape the world of European interest groups. The variables included: 1. Twitter_link (Dummy): 1.1. Twitter_YES 1.2. Twitter_NO 2. Facebook_link (Dummy): 2.1. Facebook_YES 2.2. Facebook_NO 3. Instagram_link (Dummy): 3.1. Instagram_YES 3.2. Instagram_NO 4. Linkedin_link (Dummy): 4.1. Linkedin_YES 4.2. Linkedin_NO 5. Youtube_link (Dummy): 5.1. Youtube_YES 5.2. Youtube_NO 6. mean_cost (continus): The mean of the range of estimated cost of representation.