El presente documento pretende servir como una guía de los análisis realizados en la investigación sobre el desarrollo de una nueva escala reducida para medir la motivación hacia el emprendimiento. Investigación en la que colaboran la Dra. Flor Ángela Marulanda Valencia, la Dra. Milagros Dones Tacero, y el Dr. Alejandro Martínez-Mingo.

Teste

This project showcases the power of R Markdown to create dynamic and interactive data-driven presentations. By combining the statistical capabilities of R with the simplicity of Markdown syntax, we can efficiently explore, analyze, and visualize data. Key Features: Data Exploration: In-depth analysis of the mtcars dataset, including summary statistics and visualizations. Statistical Modeling: Development of a linear regression model to predict fuel efficiency based on weight. Interactive Visualizations: Engaging visualizations to communicate insights effectively. Reproducibility: Ensured through the use of R Markdown, making the analysis transparent and replicable. Customization: The rmdformats::material theme is applied to enhance the presentation's visual appeal. By leveraging R Markdown's capabilities, we can create compelling presentations that effectively convey data-driven insights.

In this, I draw the K_measured & K_predicted with depth.