This project analyzes and forecasts quarterly employment trends in Malaysia's manufacturing sector from Q1 2015 to Q4 2025 using data from the Department of Statistics Malaysia (DOSM). Employing both Holt’s Linear Trend method and the stochastic Box-Jenkins (ARIMA/SARIMA) framework evaluated on a 70:30 train-test split, the study compares in-sample goodness-of-fit and out-of-sample forecast accuracy. The results demonstrate that the ARIMA(0,1,1)(0,1,0)[4] model with drift provides the most reliable projections, effectively capturing the structural upward trend and quarterly seasonal variations for workforce planning and policy decisionmaking.

Simple linear regression using MLB data to examine the relationship between home runs and RBIs

Tugas RLS & RLB Dataset 1