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<quiz>
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 <question type="category"><category><text>Pre-Calc/Chapter 2:  Polynomial, Power, and Rational Functions/2.2 Power Functions and Modeling/2.2.1 Power Function Basics</text></category></question>
 
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 <question type="multichoice">
    <name>
      <text>Solve the problem.The table shows the population of a certain city in various...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Solve the problem.<br /><br /></strong>The table shows the population of a certain city in various years. The population of the city f(x), in hundreds of thousands, can be modeled by f(x) = ax<sup>b</sup>, where x represents the number of years since 1980. Estimate the population of the city in the year 1999. (You will first need to use regression to estimate the values of a and b).<br /><br /><img align="middle" src="@@PLUGINFILE@@/ppg__pre-calc 2.20118141644__f1q8g1.jpg" /></p>]]></text>
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</file> 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