What is Adjusted R-Squared

The adjusted R-squared is a modified version of R-squared that has been adjusted for the number of predictors in the model. The adjusted R-squared increases only if the new term improves the model more than would be expected by chance. It decreases when a predictor improves the model by less than expected by chance. The adjusted R-squared can be negative, but it’s usually not. It is always lower than the R-squared. About Me: I completed my bachelor's degree in computer science from the Indian Institute of Technology, Delhi. After that, I completed my master's in management from Johnson College of Business, Cornell. Currently, I am working at Amazon, Seattle, as a full-time software engineer. I am passionate about coding, sharing technical stuff, and the life experiences that help me in building a successful career. If you like my videos, please subscribe & stay tuned! 👇👉🥀 Follow us on 👇🥀 👉💓 Instagram: https://www.instagram.com/shiv.codes/ 💖 👉💓 LinkedIn: https://www.linkedin.com/in/goelshivank12/ 💖 👉💓 Website: https://www.shivankgoel.com/startup-talks/ 💖 👉💓 Facebook: https://www.facebook.com/techlifewithshivank 💖 👉💓 Github : https://github.com/shivankgoel 💖