MULTIPLE REGRESSION ON THE CONTRIBUTION OF SELECTED ECONOMIC VARIABLES ON NIGERIA'S GROSS DOMESTIC PRODUCT 2008-2023

This research work was carried out to determine the contribution of selected economic variables to Nigeria's gross domestic product GDP (2008-2023). The study used a secondary source of data collection, which was a record. A sample of four (4) independent variables (Taxation, Communication, Employment and Stock) and one (1) dependent variable, GDP, was used for the research work. One-way analysis of variance (ANOVA) and Multiple Regression Analysis were employed to analyse the data at 5% level of significance. The researchers deduced from the analysis (Multiple regression) that there was a significant impact among the variables (Communication, Stock, Employment and Taxation) on the economic growth of Nigeria. The value of the coefficient of determination (R-square at 0.978), which assesses how strong the linear relationship is between the variables and can be heavily relied on in conducting trend analysis, indicating that the model is perfect and thus a highly reliable model for future forecasts. From the one-way analysis of variance (ANOVA), the researchers deduced that a significant value for the significance difference in the economic variables on GDP was obtained. Furthermore, a post hoc test (Turkey) was conducted to determine the variable that is more significant. The results obtained show that Stock and Communication are most significant to Taxation. Taxation and Communication are more significant to Stock. GDP is more significant than Employment. Taxation and Stock are more significant to Communication. Employment is more significant to GDP. Appropriate conclusions and recommendations were made and all documents consulted were acknowledged and referenced.