This notebook critiques the analysis from Data Dive 8 - Regression Modeling, which used the World Bank Statistical Performance Indicators (SPI) dataset. The dataset covers 217 countries from 2004 to 2023 and measures statistical capacity across five sub-dimensions: data use, data products, data services, data sources, and data infrastructure. Two models were used in Week 8: ANOVA: Does income group explain differences in overall statistical performance? Simple Linear Regression: Can data_products_score predict overall_score? The goal is not to redo the analysis, but to critique it. This includes identifying what was missing, what assumptions were not checked, and what risks exist if these models were used in practice. The original Week 8 analysis can be found here: Data Dive 8 - Regression Modeling

Plots of Cumulative precipitation from 2019 to current