Estimasi Kurva Regresi Spline Pada Data Longitudinal Dengan Metode Kuadrat Terkecil

Abstract

This article examines the estimation of spline regression, especially its use in longitudinal data. Longitudinal data is data obtained based on observations made as many as n objects that are independent with each object being repeatedly observed in different time periods and between observations in the same object are dependent besides longitudinal data is data that can distinguish the diversity of responses caused by The regression curve of the spline was estimated using the least squares. It can be seen that the estimation of the spline regression curve for longitudinal data is a class of linear estimation in response observations and is highly dependent on the knots point k1,k2,...,Kn

The Application of the Least Squares Method to Multicollinear Data

“…Multiple linear regression analysis is an analysis with multiple independent variables (Janah & Kartini, 2022). Regression analysis is an analysis that aims to determine whether there is a statistically dependent relationship between two variables, namely the predictor variable and the response variable (Hermawan, 2021). In addition, another purpose of multiple regression analysis is to predict the effect or functional relationship between two or more predictor variables on one response variable (Sartika et al, 2020).…”