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<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Alex Tiller's Blog on Agriculture &amp; Farming - Latest Comments in The Probability of Profitable Farming: Stack the Deck</title><link>http://alextiller.disqus.com/</link><description></description><atom:link href="https://alextiller.disqus.com/the_probability_of_profitable_farming_stack_the_deck/latest.rss" rel="self"></atom:link><language>en</language><lastBuildDate>Mon, 16 Feb 2009 13:18:29 -0000</lastBuildDate><item><title>Re: The Probability of Profitable Farming: Stack the Deck</title><link>http://blog.alextiller.com/post/77520871#comment-6310738</link><description>&lt;p&gt;I asked Dominique to provide an example of his regression analysis.  The link below will download the spreadsheet.&lt;/p&gt;&lt;p&gt;&lt;a href="http://alextiller.com/agribusiness_resource/example_of_multiple_regression.xls" rel="nofollow noopener" target="_blank" title="http://alextiller.com/agribusiness_resource/example_of_multiple_regression.xls"&gt;http://alextiller.com/agrib...&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Dominique said, “I looked at the effect of seed variety, fertilizer rate, stands (average distance between plants which reflects stress and germination), sunlight hours, effect of downey mildew on some plantings and wind, against yields. The model correlation came to 74%. The coefficients provide the effects of each and the T-Stat provides the reliability of the info. Bottom line, you can differentiate and quantify the role of a lot of factors and adjust farming practices accordingly.”&lt;/p&gt;&lt;p&gt;&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">alextiller</dc:creator><pubDate>Mon, 16 Feb 2009 13:18:29 -0000</pubDate></item></channel></rss>