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      <title>Regression Activity by Taylor Adkins</title>
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      <description>Taylor Adkins &amp; Gabi Glass</description>
      <language>en-us</language>
      <pubDate>2017-11-09 19:22:38 UTC</pubDate>
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         <title>Questions:</title>
         <author>tnadkins</author>
         <link>https://padlet.com/tnadkins/w1xb63sljvsk/wish/205464746</link>
         <description><![CDATA[<div>1. There is no linear relationship between distance and airfare. We think there should be because it would make sense to pay more the further you travel.&nbsp;<br><br>2. (on graph)<br>3. (on graph)<br><br>4. For every increase of 1 in x, there is a 0.0386 increase in y.<br><br>5. y=0.0386(400)+251.66<br>y= 267.10<br><br>y=0.0386(600)+251.66<br>y=274.82<br><br>274.82-267.10=7.72<br><br>The airfares should differ by $7.72.<br><br>6. r=0.5071; The regression line does not fit the data very well because the airfare did not decrease with a decrease in miles traveled, so most of the variables were negatively correlated while some were positively correlated.&nbsp;<br><br>7. y=0.0386(1600)+251.66<br>y= $313.42</div>]]></description>
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         <pubDate>2017-11-09 19:23:39 UTC</pubDate>
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         <title></title>
         <author>tnadkins</author>
         <link>https://padlet.com/tnadkins/w1xb63sljvsk/wish/205483365</link>
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         <pubDate>2017-11-09 19:57:52 UTC</pubDate>
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         <title></title>
         <author>tnadkins</author>
         <link>https://padlet.com/tnadkins/w1xb63sljvsk/wish/205483838</link>
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         <pubDate>2017-11-09 19:58:51 UTC</pubDate>
         <guid>https://padlet.com/tnadkins/w1xb63sljvsk/wish/205483838</guid>
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         <title>Taylor Adkins &amp; Gabi Glass</title>
         <author>tnadkins</author>
         <link>https://padlet.com/tnadkins/w1xb63sljvsk/wish/205484260</link>
         <description><![CDATA[]]></description>
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         <pubDate>2017-11-09 19:59:46 UTC</pubDate>
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