Budget Forecasting and Integrated Strategic Planning for Leaders

Battle Count: 75

This paper is entirely focused on education finance and public policy in California Community Colleges. While it uses macroeconomic indicators (GDP, CPI, unemployment) that are also relevant in financial markets, the application context is institutional budgeting and strategic planning for educational leaders, not trading or investment. The regression methodology is standard and not applied to market prediction or portfolio management. There is no connection to quantitative trading strategies, market microstructure, or financial asset pricing.

The methodology is straightforward: simple and multiple linear regression using SPSS on publicly available time-series data. No complex model architectures, feature engineering pipelines, or computational infrastructure are required. The main complexity lies in data collection and compilation from multiple government sources over 30 years. Statistical assumptions testing (normality, linearity, multicollinearity, homoscedasticity) follows standard procedures. No programming or advanced computational skills beyond SPSS proficiency are needed.

The study uses publicly available data from U.S. Census Bureau, California State Department of Finance, California Postsecondary Education Commission's Fiscal Profiles, and California Legislative Analyst's Office. SPSS is used for analysis. However, specific data processing steps, variable transformations, and exact model specifications are not fully detailed. The 30-year dataset (1994-2023) is publicly accessible, but the exact compilation and cleaning procedures would need to be replicated. No code or scripts are provided.