Abstract
Regression analysis is the statistical technique commonly used in econometric modeling and carrying out economic forecasts. This study sought to assess the precision multiple linear regression in evaluating the evolution in real GDP per capita in the USA between 1998 and 2011 using expenditure approach. Three macroeconomic variables were used; Gross domestic product, net investment and final consumption. Net investment and final consumption are model regressors predicting GDP. The researcher used MS Excel to carry out all the statistical analysis on the data. The analysis result shows weak linear development GDP increment. Small fluctuations were observed around the fitted ...