An application of multiple linear regression model in modelling macro-economic variables Department: Mathematics and Statistics By: kruskalstat Project ID: 4712 Rating: (5.0) votes: 1Rate this project12345 Price:₦3000 Get the Complete MaterialAbstractThe study attempts to apply multiple linear regression in modeling economic variables to foster economic growth. In this light, a set of macro-economic variables was randomly selected and modeled using the regression methodology via the use SPSS 22.0. The data obtained were the period of 2005-2019. The result of the analysis pointed that of all six predictors/independent variables examined in the study, only a few were found to be statistically significant. It was reported that the result indicated that for all the changes in the Nigeria economic GDP, 74% of such changes can be accounted for by the changes in the exchange rate, foreign direct investment, and external debt in Nigeria. However, upon examining the influence of debt payment, net export, the result shows that these have no statistical evidence and thus, they do not affect GDP of the Nigeria for the period studied. Based on the result of the study, it was concluded that in order to be certain of the predictive power of a regression model, there should be critical scrutiny of the model adequacy first. Notwithstanding, for this study, of all the six independent variables examined the model was reduced and concluded that exchange rate, foreign direct investment, and external debt in Nigeria influences the gross domestic product better using the p-value and the global f-test approach of assessing the model adequacy to reduce model predictors to only significant ones....Preview Download Preview +Other Mathematics and Statistics project topics and materials you might be interested in»Statistical Quality Control of Premier Soap in Soap Manufacturing Industry ( A Case Study of PZ Cusson PLC Aba Abia State)»Statistical analysis of students’ height and weight (case study of federal polytechnic Nekede, Owerri, Imo state) »Statistical analysis of unemployment rate among age groups and geographical locations in Nigeria»Statistical analysis of the problems associated with skill acquisition in Nigeria (a case study of male tailors in Imo state)»Application of linear programming technique to profit maximization in the production of soap (a case study of Promotex industrial and chemical company limited, Nnewi, Anambra state) »Statistical analysis of foster care and adoption rate in Abia state (a case study of motherless babies home Ahiaeke, Umuahia)»Determination of nutritional status of children within the ages of four (4) to ten (10) years using their body mass index (BMI)»Time series analysis on marriage registration in Ilorin, Kwara state»Application of multiple queuing model in evaluating the efficiency of service in UBA bank»Statistical analysis on impact of parental hood on academic performance»Determinant of foreign direct investment in Nigeria and its effect on Nigerian economy: an empirical analysis»Econometrics analysis of gross national income on consumption expenditure of federal republic of Nigeria between (2011)»Statistical analysis of factors affecting crime in Imo state»Statistical study of the queuing pattern at the antinatal division of Federal Medical Center FMC Owerri Imo state»A statistical analysis of coal production in Nigeria - a case study of Nigeria coal corporation from 2000-2009