EFFECT OF TREASURY SINGLE ACCOUNT ON ECONOMIC GROWTH OF NIGERIA.

The research employed a descriptive methodology to investigate the impact of the independent variable on the response variable through the implementation of multiple regression analysis utilizing the IBM SPSS 21 statistical software specifically designed for social science applications. The Centralized Account [Independent Variable] and the Inflation Rate [Dependent Variable] will be incorporated into the analytical model. Statistical Test of Significance. The coefficients of multiple determinations (R²) were utilized to assess the quality of fit; t-statistics were employed to evaluate the significance of each regression coefficient in isolation; and F-statistics were applied to ascertain the overall significance of the entire regression equation. Test for Goodness of Fit In this context, the multiple determinations coefficient R² quantifies the explanatory capacity of the independent variable in relation to the dependent variable, as well as the degree to which the sample regression line approximates the observed data (goodness of fit). The value of R-squared, or R², spans from 0 to 1 [0 > R² < 1]. An increased proportion of variance results in R² approaching unity. Test of Significance It is imperative to conduct the t-test to evaluate the statistical significance of each regression coefficient. A descriptive statistical test with n–k degrees of freedom is performed. It is essential to test the alternative hypothesis (H₁) in opposition to the null hypothesis (H₀).