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Essay Details:
Essay text:
Sale price: Y
• Independent variables
1. Floor height: x1
2. Distance from elevator: x2
3. View of the ocean: x3
4. End unit: x4
5. Furniture: x5
Issues identified
• To build a regression model that accurately predicts the sale price of a condominium unit sold at auction.
• Use graphs to demonstrate how each of the independent variables in the model affects price.
B. Case Analysis
1. Creating the deterministic regression model
Since there are five independent variables, there shall be 5 variables in our initial first order regression model:
E(y) = ?0 + ?1x1 + ?2 x2 + ?3 x3 + ?4 x4 + ?5 x5 + (
Using the data in the CD, we find the SPSS printout for the case as below:
Coefficients (a)
|Model | |Unstandardized Coefficients |Standardized |t |Sig...
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