Ikhfa Nurul Fadilah (2304010013) UTS Statistika Ekonomi dan Industri

This document explores the approach to nonlinear regression models using splines, focusing on solving linearity problems in data. Through the application of cubic and natural splines, analyzes and visualizations are presented that demonstrate how these techniques improve the fit to the data. Furthermore, performance metrics are calculated to evaluate the effectiveness of the proposed models, contributing to a deeper understanding of the non-linear relationships between variables.