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Super Store Sales and Profit Data set
Terro's Real Estate analyzes Boston house prices with a 506-house dataset. Initial models with LSTAT set baselines; subsequent models refine predictions, achieving an impressive adjusted R-squared of 0.6887. Insights guide precise pricing, showcasing Terro's commitment to industry standards. Addressing challenges enriches the project's narrative.
HealthAnalytics-SAS: Leveraging SAS Programming to Uncover Health Trends, Correlations, and Predictive Insights from Comprehensive Health Data Analysis.