ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Quantitative determination of the relative contributions from multiple sources in ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic! White House reacts after intel assessment contradicts Trump on Iran strikes How to Find Hidden ...

Health Examination Center, Shanghai Health and Medical Center (Huadong Sanatorium), Wuxi, China Objective: This study aimed to explore the diagnostic value of clinical features in the assessment of ...

Climate change in response to a change in external forcing can be understood in terms of fast response to the imposed forcing and slow feedback associated with surface temperature change. Previous ...

In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method ...

Objective: This study aimed to assess the viability of a multivariate regression model utilizing ultrasound findings and serum markers for predicting thyroid cancer metastasis. Methods: A ...

Abstract: This paper presents an analysis of product sales and pricing based on a multi-linear regression model and time series forecasting algorithm. Initially, historical sales prices are considered ...