This assignment solution focuses on a multiple regression model, analyzing key statistical components such as the standard error of the estimate, the coefficient of determination (R-squared), and the adjusted coefficient of determination. The solution provides interpretations of these values, explaining the variance explained by the model. Furthermore, the assignment delves into hypothesis testing, including null and alternative hypotheses, test statistics (F-stat), and p-values to determine the significance of the model and individual slope coefficients. The interpretation of the slope coefficients for independent variables is also presented, along with conclusions regarding the linear relationships between variables. References to relevant statistical literature are included to support the analysis and findings.