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    <title>STAT 4610X - Sports Analytics</title>
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    <item>
      <title>Day 06</title>
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      <pubDate>Thu, 06 Feb 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;We’ll continue talking about linear regression models,&#xA;but now we’ll add additional explanatory variables.&#xA;Thus, we move into multiple linear regression models,&#xA;although most people will just use the term regression.&lt;/p&gt;&#xA;&lt;p&gt;We will continue to use the same slide set from yesterday.&lt;/p&gt;&#xA;&lt;p&gt;&lt;a href=&#34;../../slides/Day05/Day05.pdf&#34;&gt;Multiple Linear Regression&lt;/a&gt;&lt;/p&gt;</description>
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      <title>Class</title>
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      <pubDate>Tue, 04 Feb 2025 00:00:00 +0000</pubDate>
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      <description>&lt;ul&gt;&#xA;&lt;li&gt;&lt;a href=&#34;day01&#34;&gt;Day 01&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;day02&#34;&gt;Day 02&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;day04&#34;&gt;Day 04&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;day05&#34;&gt;Day 05&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;day06&#34;&gt;Day 06&lt;/a&gt;&lt;/li&gt;&#xA;&lt;/ul&gt;</description>
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      <title>Day 05</title>
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      <pubDate>Tue, 04 Feb 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;We’ll start talking about regression models.&#xA;First we will do an activity to suggest variables that could be modeled using&#xA;a regression analysis.&#xA;The activity will require students to identify a response variable,&#xA;the appropriate distribution for the response variable&#xA;(binomial, Poisson, and normal), and a&#xA;brainstorm of what explanatory variables would affect the distribution of the&#xA;response variable.&lt;/p&gt;&#xA;&lt;p&gt;The main purpose of this activity is to get you to start thinking about what type&#xA;of regression model you will need to use.&#xA;The type of regression model will depend on the type of response variable:&lt;/p&gt;</description>
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      <title>Day 04</title>
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      <pubDate>Thu, 30 Jan 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Today we will introduce the probability distributions that form the basic&#xA;building block for sports (and many other types of) data.&lt;/p&gt;&#xA;&lt;p&gt;&lt;a href=&#34;../../slides/Day04/Day04.pdf&#34;&gt;Probability Distributions&lt;/a&gt;&lt;/p&gt;</description>
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      <title>About</title>
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      <pubDate>Wed, 22 Jan 2025 13:46:51 -0500</pubDate>
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      <description>&lt;p&gt;This is a website for STAT 4610X - Sports Analytics at Iowa State University.&#xA;The first time this course was taught is Spring 2025.&lt;/p&gt;</description>
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      <title>Day 02</title>
      <link>/class/day02/</link>
      <pubDate>Wed, 22 Jan 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Find another individual, who is not sitting next to you, and,&#xA;ideally, who you don’t know.&#xA;The less you know the individual the better.&lt;/p&gt;&#xA;&lt;p&gt;Introduce yourselves by stating your name and your favorite statistics&#xA;course (STAT 4610X is not an option).&lt;/p&gt;&#xA;&lt;p&gt;The categories chosen will be specific to sports analytics.&#xA;As a reminder, the term &lt;em&gt;sports&lt;/em&gt; is being used very broadly,&#xA;i.e. so long as there has been at least one national or international championship&#xA;it will qualify as a sport.&lt;/p&gt;</description>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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