Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Aims To investigate the associations between influencing factors with length of stay (LOS) and hospitalisation expenses in oral cancer (OC) patients, and to explore the potential pathways through ...

Accurate nitrogen diagnosis is essential for optimizing rice yield and sustainability. This study investigates the potential of using multi-leaf SPAD measurements combined with machine learning models ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Eric's career includes extensive work in both public and corporate ...

Abstract: This paper proposes a mixture of univariate linear regression models (MULRM) to be applied in time-varying scenarios, and its application to soft sensor problems. Offline and online ...

Intensive lipid-lowering therapy may induce coronary atherosclerosis regression. Nevertheless, the factors underlying the effect of lipid-lowering therapy on disease regression remain poorly ...

Get the independent variable X and dependent variable Y. Calculate the mean of the X -values and the mean of the Y -values. Find the slope m of the line of best fit using the formula. Compute the y ...