Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...

Abstract: This study utilized multiple linear regressions to measure and predict the teaching effectiveness of university faculty. The researchers also utilized Knowledge Discovery in Databases and ...

When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...

Autistic regression refers to a loss of previously acquired skills or a backtracking of developmental milestones. In young children, it may represent autism onset. In older children and adults, it may ...

Urbanization rate and per capita GDP are important indicators to measure the level of economic development. Changes in the two and the profound changes they bring have been hot topics in the field of ...

This repository contains the code and data for a multiple linear regression analysis of Citi Bike ridership data in New York City. The analysis aims to predict Citi Bike ridership demand using a ...

Abstract: With the acceleration of urbanization, the proportion of power cables in urban power grid is increasing, and the peak valley difference of urban power grid is increasing year by year. The ...