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      <title>Relationship Between Fat and Calories: Pasta Sauce  by Ashley Heller</title>
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      <pubDate>2016-11-29 17:43:00 UTC</pubDate>
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         <description><![CDATA[<div>Calories is a measurement of energy. When counting calories it is how much energy your body is receiving.  Fat is a macronutrient which is an energy source, like calories. One gram of fat is the equivalent to 9 calories.  Fat contains more energy than protein and carbohydrates, each contains 4 grams of calories.</div>]]></description>
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         <pubDate>2016-11-29 17:49:44 UTC</pubDate>
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         <title>Great Value </title>
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         <pubDate>2016-11-29 17:56:07 UTC</pubDate>
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         <title>Ragu</title>
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         <pubDate>2016-11-29 18:12:06 UTC</pubDate>
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         <pubDate>2016-11-29 19:24:10 UTC</pubDate>
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         <pubDate>2016-11-29 19:25:27 UTC</pubDate>
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         <title>Classico</title>
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         <pubDate>2016-11-29 19:26:09 UTC</pubDate>
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         <title>Barilla</title>
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         <pubDate>2016-11-29 19:27:04 UTC</pubDate>
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         <title>Guy Fieri </title>
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         <pubDate>2016-11-29 19:28:00 UTC</pubDate>
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         <title></title>
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         <pubDate>2016-11-29 22:53:59 UTC</pubDate>
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         <title>One way to list data points is to use ordered pairs</title>
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         <description><![CDATA[<div>Examples:<br>Great Value: (1.5, 70)<br>Classico: (1, 60)</div>]]></description>
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         <pubDate>2016-11-29 22:56:07 UTC</pubDate>
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         <title></title>
         <author>ashley_heller</author>
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         <description><![CDATA[<div>The independent variable is the total fat.</div><div>The dependent variable is the calories.</div><div><br></div>]]></description>
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         <pubDate>2016-11-29 23:35:25 UTC</pubDate>
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         <title></title>
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         <pubDate>2016-11-29 23:42:59 UTC</pubDate>
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         <pubDate>2016-11-29 23:56:10 UTC</pubDate>
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         <description><![CDATA[<div>For my scale I used 5 G for the y-axis and 0.5 calories for the x-axis. When I labeled the independent I chose fat because 1 gram of fat is 9 calories. When graphing the scatter plot I used the numbers from the chart. It is a positive correlation.</div>]]></description>
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         <pubDate>2016-11-29 23:57:22 UTC</pubDate>
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         <pubDate>2016-11-30 00:27:31 UTC</pubDate>
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         <description><![CDATA[<div>y=11.304x+45.652</div><div><br></div>]]></description>
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