Data Analysis and Regression

This practical assignment involves solving four problems related to data analysis and business decision-making. Problem 1 focuses on simple linear regression, interpreting a scatter plot, R-squared value, and the slope of the regression equation. Problem 2 deals with identifying and correcting inconsistencies in a rule-based decision-making system. Problem 3 explores the limitations of correlation analysis, highlighting what a high correlation coefficient doesn't reveal. Problem 4 integrates regression analysis and decision tree analysis to assess the feasibility of a business expansion project, considering economic uncertainty and cost factors. Students are required to perform regression analysis, interpret statistical outputs, construct a decision tree, and make informed business decisions based on the analysis.