Analysis of Birth weight using Singular Value Decomposition

TL;DR

This paper applies singular value decomposition and multiple linear regression to analyze birth weight and related variables, aiming to improve understanding of factors affecting newborn health.

Contribution

It introduces the combined use of SVD and linear regression for birth weight analysis, which is a novel approach in this context.

Findings

Identified key variables influencing birth weight

Demonstrated the effectiveness of SVD in data reduction

Provided insights into birth weight determinants

Abstract

The researchers have drawn much attention about the birth weight of newborn babies in the last three decades. The birth weight is one of the vital roles in the babys health. So many researchers such as (2),(1) and (4) analyzed the birth weight of babies. The aim of this paper is to analyze the birth weight and some other birth weight related variable, using singular value decomposition and multiple linear regression.