QUANTUM PHYSICS AND LINEAR REGRESSION: AN EPISTEMOLOGICAL SYNTHESIS FOR UNCERTAINTY MODELING IN THE ANGOLAN ECONOMY

Abstract

This article proposes an unprecedented synthesis between quantum physics principles and linear regression statistical methods, with specific application to the Angolan socioeconomic context. Drawing on the epistemological analogy between quantum state superposition and the probabilistic distribution of economic variables, we demonstrate that Heisenberg's uncertainty principle has direct correspondence with inferential statistics confidence intervals. Quantum entanglement is reinterpreted as non-local correlation between productive sectors, particularly between offshore oil (Blocks 17 and 18) and diamond extraction (Catoca, Lulo). Through computational modeling, we show that the statistical covariance matrix functions as a classical analogue of the quantum density operator, enabling robust predictions about exchange rate volatility and energy production. Results suggest that the Angolan economy, like subatomic matter, is fundamentally probabilistic, requiring hybrid approaches that integrate quantum mechanics with traditional econometrics. This work opens perspectives for developing an "Angolan Quantum Economics", with implications for fiscal policy, petroleum reserve management, and national energy planning.