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Brent, I took your course and I am using your spreadsheet. I am so grateful for your leadership and expertise! I have already learned so much, and I am confident in using this robust technique/system to support my reports! I highly recommend.

How many observations do you have each month, particularly for the zip code? Is it enough to be statistically significant? I hope everyone understands you have to have enough observations per month or period to ensure that it is statistically significant for that zip code. This is something I am running into in my area and I am sure there are a lot of others in the same situation. The chart that Fannie Mae put out was a relationship between two months--such as the percentage change from April to May but that does not tell you percent change from April to current.

Good stuff. I have 2 questions. I. How did you determine your modeling factors? 2. Can you further explain the smoothing factor? Thank you :)

I'm loving these videos, Brent! Thanks so much for sharing them with us!

Great stuff Brent. Appreciate you sharing your knowledge and workflow.

Brent, thanks for the video's. When you look at the charts, do you ever use the 12 month rolling average instead of the 3 year monthly information? Look forward to seeing you at the ACTS Conference.

As a computer scientist that works with researchers: I've been repeatedly told by physicists and mathematicians that they are "equations" not "formulas." ... the physicists usually say something along the lines of "I'm not a chemist/cook" and the mathematicians just look at me like I'm an 8 year old being silly continue to call them equations and never formulas. I got hired to consult for a cloud computing symposium with Snowflake and several of their potential customers as well as some big data consultants and I was amazed at how much consumer end data is just ignored or unused. There was a vendor there that was almost as big as craigslist, had years of consumer data, and had done nothing with it at all.