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Trigonometric Regression Models for Tampa/St. Petersburg Hotel Monthly Revenues

Explore the application of trigonometric regression models to analyze monthly revenues of hotels in the Tampa/St. Petersburg area over a 6-year period. The focus is on Revenue per Available Room (REVPAR) data collected over 72 months. The model involves X-Matrix, X & Y Matrices, Year 1 analysis, X’X, X’Y, and Estimated Regression Coefficients for simplifying the model.

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Trigonometric Regression Models for Tampa/St. Petersburg Hotel Monthly Revenues

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  1. Trigonometric Regression Models Tampa/St. Petersburg Hotel Monthly Revenues – 6 Years

  2. Data/Model • Revenue per Available Room (REVPAR) over 72 months (6 Years)

  3. X - Matrix

  4. X & Y Matrices – Year 1

  5. X’X , X’Y , (X’X)-1

  6. Estimated Regression Coefficients

  7. Model Simplification

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