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Applying Normalization to the Comparable Properties :Increasing Real Estate Management Profits: Harnessing Data Analytics (Excel to MySQL: Analytic Techniques for Business Specialization) Answers 2025

  1. For the equation of your linear regression for the 244 Watershed properties, what is the value for the Slope (Beta)?
    ✔ -0.7914
    ❌ -.8914
    ❌ .8914
    ❌ .7914

  2. For the equation of your linear regression for the 244 Watershed properties, what is the value for the Y-intercept (Alpha)?
    ✔ 0.8506
    ❌ 0.8679
    ❌ -0.8679
    ❌ 0.9567

  3. The coefficient of determination (R-squared) of your linear regression is:
    ✔ 0.59915
    ❌ 0.71951
    ❌ 0.68739
    ❌ 0.51591

📄 Summary

Question Answer Notes / Summary
Q1 -0.7914 Slope is negative, indicating that as the independent variable increases, the dependent variable decreases.
Q2 0.8506 Y-intercept is the predicted value of the dependent variable when the independent variable is 0.
Q3 0.59915 R² ~0.60, meaning about 60% of the variance in the dependent variable is explained by the model — moderate fit.