Write the problem statement or objective of the case Develop a multiple regression model for calculating appropriate compensation for the affected residents along Springbanlr Drive. a. Identify the dependent and independent variables h. Which independent variables are relevant and which are not in estimating the compensation. Explain. c. lCheck the assumptions of the multiple regression model for each relevant variable. d. Are there any additional variables that you believe mayr be important but that are not included in the database? [Apply the relevant test to justify] e. You can develop several regression models [For example: model 1, model 2 or model 3] and choose the best one to explain why iis specic regression model is the best. I. Explain the ndings of each model. g. Are there any concerns with using the attribute or dummy variables in Canning's database as it is currently presented? Compare lCanoing's multiple linear regression approach to this problem with the more traditional sales comparison approach. Which one is more appropriate and why? How should lCanning address the fact that some clients will receive higher compensation under the City's assessment, while others gain from Canning's amt? Write a conclusion based on your overall ndings of the case. WWW