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	Comments on: Visualizing Market Activity Using Graphs &#038; Trendlines	</title>
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		<title>
		By: don		</title>
		<link>https://appraisersblogs.com/visualizing-market-activity-using-graphs-n-trendlines/#comment-36173</link>

		<dc:creator><![CDATA[don]]></dc:creator>
		<pubDate>Thu, 24 Nov 2022 00:08:50 +0000</pubDate>
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					<description><![CDATA[Thank you.

I have found the researching all of the closed, contingent, active and maybe the expired listings in geographical mapped area, &quot;As the neighborhood&quot; explains most questions to the inexpert reviewers or clients. Also, my graphs illustrate SORT&#039;s rather than straight or wiggly lines which invites special education. 

My graphs also illustrates the activity and I illustrate that by counting the closings in each if the six months researched, that may illustrate seasonality, deflation or inflation, are March sales higher than November and what about next March. What&#039;s your Date of Value?

My method takes a few more pages, how much is your client worth to you!]]></description>
			<content:encoded><![CDATA[<p>Thank you.</p>
<p>I have found the researching all of the closed, contingent, active and maybe the expired listings in geographical mapped area, &#8220;As the neighborhood&#8221; explains most questions to the inexpert reviewers or clients. Also, my graphs illustrate SORT&#8217;s rather than straight or wiggly lines which invites special education. </p>
<p>My graphs also illustrates the activity and I illustrate that by counting the closings in each if the six months researched, that may illustrate seasonality, deflation or inflation, are March sales higher than November and what about next March. What&#8217;s your Date of Value?</p>
<p>My method takes a few more pages, how much is your client worth to you!</p>
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		<title>
		By: Shawn Prince		</title>
		<link>https://appraisersblogs.com/visualizing-market-activity-using-graphs-n-trendlines/#comment-36159</link>

		<dc:creator><![CDATA[Shawn Prince]]></dc:creator>
		<pubDate>Tue, 22 Nov 2022 00:14:17 +0000</pubDate>
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					<description><![CDATA[Dave i respect your knowledge, history and years. Graphs and stats based on bad reporting i would argue despite making a report look pretty if stats are bad well it&#039;s still bad. And stats have bad reported by worst contributers in recent years. Crap in means crap out. UAD been taking crap since it introduced and amc reva 80% appraisal distribution. Maby just maybe focus on the internet article this weekend on lead news again with the appraiser whatever based on race. On saturday morning i read on lead interent news that appraiser devalue whatever based on race. 400 comments. meanwhile the article was proven false and written for agenda 2 months prior. But its saturday was lead news on internet as someone paid for it to be so. Graphs? when everyone lying? Focus on the lying.]]></description>
			<content:encoded><![CDATA[<p>Dave i respect your knowledge, history and years. Graphs and stats based on bad reporting i would argue despite making a report look pretty if stats are bad well it&#8217;s still bad. And stats have bad reported by worst contributers in recent years. Crap in means crap out. UAD been taking crap since it introduced and amc reva 80% appraisal distribution. Maby just maybe focus on the internet article this weekend on lead news again with the appraiser whatever based on race. On saturday morning i read on lead interent news that appraiser devalue whatever based on race. 400 comments. meanwhile the article was proven false and written for agenda 2 months prior. But its saturday was lead news on internet as someone paid for it to be so. Graphs? when everyone lying? Focus on the lying.</p>
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		<title>
		By: Bill Johnson		</title>
		<link>https://appraisersblogs.com/visualizing-market-activity-using-graphs-n-trendlines/#comment-36148</link>

		<dc:creator><![CDATA[Bill Johnson]]></dc:creator>
		<pubDate>Fri, 18 Nov 2022 22:29:25 +0000</pubDate>
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					<description><![CDATA[In reply to &lt;a href=&quot;https://appraisersblogs.com/visualizing-market-activity-using-graphs-n-trendlines/#comment-36147&quot;&gt;Timothy Thompson&lt;/a&gt;.

I appreciate the effort and the knowledge, but with most appraisers partnering with AMC&#039;s where its currently about the two&#039;s (two day turn time / fees staring with a two), most lender clients could careless. Outsource to the Philippines, rubberstamp 4 to 9 appraisals a day, and repeat.

Seek the truth.]]></description>
			<content:encoded><![CDATA[<p>In reply to <a target="_blank" href="https://appraisersblogs.com/visualizing-market-activity-using-graphs-n-trendlines/#comment-36147">Timothy Thompson</a>.</p>
<p>I appreciate the effort and the knowledge, but with most appraisers partnering with AMC&#8217;s where its currently about the two&#8217;s (two day turn time / fees staring with a two), most lender clients could careless. Outsource to the Philippines, rubberstamp 4 to 9 appraisals a day, and repeat.</p>
<p>Seek the truth.</p>
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		<title>
		By: Timothy Thompson		</title>
		<link>https://appraisersblogs.com/visualizing-market-activity-using-graphs-n-trendlines/#comment-36147</link>

		<dc:creator><![CDATA[Timothy Thompson]]></dc:creator>
		<pubDate>Fri, 18 Nov 2022 19:17:23 +0000</pubDate>
		<guid isPermaLink="false">https://appraisersblogs.com/?p=28083#comment-36147</guid>

					<description><![CDATA[My personal opinion: First, your graphs should attempt to express the rate of change in terms of a percentage rate. Secondly, the first graph cited in your article is self-refuting, and actually demonstrates nothing. And, finally, no offense intended, and I appreciate your article very much, but I think that appraisers should probably study Statistics, just a little, before attempting to graph and analyze data.  

Linear models will always produce a result, even if the actual trend is insignificant -- as perfectly illustrated in the first graph! Your graph makes a better case that adjustments for market conditions are not warranted.  You will need a much bigger data set to support a significant trend -- and so be it! 

It&#039;s important to understand statistical significance.  The data set cited in your graph establishes absolutely nothing about market conditions.  You make a claim to the contrary at your own hazard. 

Another way to say it: The R-squared (or, Coefficient of Determination) in this graph is extremely low -- and I can say that with certainty, at first glance. Your spreadsheet program will calculate the R-squared for you, automatically, if you&#039;d like, and display it with the equation line. If you are WAY BELOW .5, you should think twice about what conclusions you can draw from the graph.

I&#039;m all for graphing data! The future of appraisal is data analysis, and the future is now!]]></description>
			<content:encoded><![CDATA[<p>My personal opinion: First, your graphs should attempt to express the rate of change in terms of a percentage rate. Secondly, the first graph cited in your article is self-refuting, and actually demonstrates nothing. And, finally, no offense intended, and I appreciate your article very much, but I think that appraisers should probably study Statistics, just a little, before attempting to graph and analyze data.  </p>
<p>Linear models will always produce a result, even if the actual trend is insignificant &#8212; as perfectly illustrated in the first graph! Your graph makes a better case that adjustments for market conditions are not warranted.  You will need a much bigger data set to support a significant trend &#8212; and so be it! </p>
<p>It&#8217;s important to understand statistical significance.  The data set cited in your graph establishes absolutely nothing about market conditions.  You make a claim to the contrary at your own hazard. </p>
<p>Another way to say it: The R-squared (or, Coefficient of Determination) in this graph is extremely low &#8212; and I can say that with certainty, at first glance. Your spreadsheet program will calculate the R-squared for you, automatically, if you&#8217;d like, and display it with the equation line. If you are WAY BELOW .5, you should think twice about what conclusions you can draw from the graph.</p>
<p>I&#8217;m all for graphing data! The future of appraisal is data analysis, and the future is now!</p>
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