Prévision des Séries Chronologiques à l’aide de la Régression Linéaire

Abstract

This thesis explores the use of linear regression for time series forecasting. We analyze real-world time series data and implement linear regression techniques to predict future values. We pay special attention to data analysis, model diagnostics, and the evaluation of predictive performance. We also include practical examples and simulations using R, enabling the reader to understand the concepts and apply the presented methods.