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The table below represents the dollars (in millions) of Brand X candies sold per year. Use technology to fit an exponential function to this data using linearization. Then determine the percentage increase per year. Year 1996 1998 2000 2002 2004 2006 2008

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The table below represents the dollars (in millions) of Brand X candies sold per year. Use technology to fit an exponential function to this data using linearization.  Then determine the percentage increase per year.<p /><table width='100%' border='1' cellspacing='1' cellpadding='1''font-weight:inherit;font-style:inherit;font-variant:inherit;font-size:11px;border-spacing:0px;border-collapse:collapse;font-family:'lucida grande', tahoma, verdana, arial, sans-serif;direction:ltr;text-align:left;color:rgb(51, 51, 51);'><tbody> <tr> <td width='10%' valign='top' >Year </td> <td width='10%' valign='top' >1996 </td> <td width='10%' valign='top' >1998 </td> <td width='10%' valign='top' >2000 </td> <td width='10%' valign='top' >2002 </td> <td width='10%' valign='top' >2004 </td> <td width='10%' valign='top' >2006 </td> <td width='10%' valign='top' >2008 </td> <td width='10%' valign='top' <td width='10%' valign='top' </tr> <tr> <td width='10%' valign='top' >$$ </td> <td width='10%' valign='top' >1.2 </td> <td width='10%' valign='top' >1.5 </td> <td width='10%' valign='top' >1.6 </td> <td width='10%' valign='top' >1.9 </td> <td width='10%' valign='top' >2.1 </td> <td width='10%' valign='top' >2.4 </td> <td width='10%' valign='top' >2.5 </td> <td width='10%' valign='top' <td width='10%' valign='top' >  </td> </tr></tbody> </table>





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