$105.00 USD

Terms and Conditions:

You are agreeing to receive emails from George Dell's Valuemetrics.Info related to this class/event. If you do not subscribe, or elect to unsubscribe to receiving emails, we cannot deliver you emails anymore, even for things you asked/paid for, as all our services are tied to your email address.

If George Dell postpones or cancelled the class due to a large scale over-arching event (natural disaster, adverse weather, disease, pandemic, political unrest, etc) outside of the control of George Dell or his staff, the class will be rescheduled as reasonably soon as possible. If the student is unable to attend on the new dates, their money can be refunded or put toward another Stats, Graphs, and Data Science 1 class, either live or online.

If the Student cancels their attendance of the class UP TO seven (7) days prior to the first day of class, they are eligible for a full refund. After that point, the student will be charged a $25 cancelation fee from Day 7 to Day 1 before the class. If the student elects to cancel after 12:00 PM (NOON) the day before the class, they are not eligible for a refund. If the student does not attend (No Show) on the day of the class, they are not eligible for a refund.

Second Chance Rescheduling

All students who are considering canceling (or do not attend class without canceling in advance) are eligible to put their registration fees toward another Market Conditions Time Adjustments class offered live, virtual via Zoom. Contact Cynthia Law, Executive Director at [email protected] for more information or to move your registration to another class.

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Market Conditions Time Adjustment March 2025

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Only 40 seats available for this offering.

What you will learn in this course.

This seminar enables students to use modern price-indexing methods specifically for real property valuations. Students are taught the ability to create a graph showing relevant sales, a linear trend line visual, and establish a time adjustment.  This is a hands-on course using commercial or open-source spreadsheet software, or (recommended) open-source data analytic software, R, and the RStudio user interface.

Learning objectives.

Upon completion of this presentation, students will be able to:

  1. Identify the relevant data set;
  2. Create a graph in RStudio or spreadsheet;
  3. Calculate a linear trend line with simple regression;
  4. Calculate the underlying formula to establish the time adjustment.

Four hours California Continuing Education Credit.