This document presents solutions to a statistics assignment, focusing on regression analysis and its applications. The assignment covers three questions, each involving statistical modeling and interpretation. Question 1 addresses forecasting using linear regression, predicting lease and rental values based on historical data. Question 2 delves into multiple regression to analyze factors influencing job satisfaction, evaluating the significance of variables like supervisor relationships, opportunities for advancement, and work environment. Question 3 explores the prediction of bond rates using prime interest rates, assessing the model's reliability and validity through R-squared values and scatter plot analysis. The solutions include formulas, statistical outputs, and detailed interpretations of the results, including ANOVA tables and regression statistics, providing a comprehensive understanding of the statistical concepts applied. The document also discusses the reliability of results, the impact of different variables, and expected scores. The work includes detailed calculations and analysis for all three questions.
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