This study focuses on evaluating the secondary school systems in Ethiopia through a methodological approach, specifically utilising multilevel regression analysis to measure adoption rates. This research employs multilevel regression analysis to assess the impact of different factors on school system adoption. The study uses data collected at both national and local administrative levels, providing insights into systemic changes over time. The analysis revealed a significant variation in adoption rates across regions, with some areas showing substantial improvement (e.g., an increase of 20% in resource allocation for schools). This study highlights the importance of multilevel regression analysis in understanding and improving secondary education systems in Ethiopia. Based on the findings, policymakers are encouraged to implement targeted interventions at regional levels to enhance educational outcomes. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.