[Solution] Excel data problem 5 presents data for 27 houses sold in Erie, PA. Fit a multiple regression model relating the selling price to all nine regressors.
Question: Excel data problem 5 presents data for 27 houses sold in Erie, PA.
- Fit a multiple regression model relating the selling price to all nine regressors.
- Test for significance of regression and model adequacy. What conclusions can you drawn?
- What is the contribution of lot size and living space to the model, given that all of the regressors are included?
- Is multicollinearity a potential problem in this model?
- Fit the best possible reduced model. Discuss your findings.
Deliverable: Word Document 
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