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The following table shows the annual revenues (in millions of dollars) of a pharmaceutical company over the period 1990 to 2011. \begin{tabular}{|l|c|c|c|c|c|c|c|c|c|c|c|} \hline Year & 1990 & 1991 & 1992 & 1993 & 1994 & 1995 & 1996 & 1997 & 1998 & 1999 & 2000 \\ \hline Revenue & 830 & 791 & 842 & 891 & 953 & 1,036 & 1,050 & 1,070 & 1,127 & 1,272 & 1,386 \\ \hline Year & 2001 & 2002 & 2003 & 2004 & 2005 & 2006 & 2007 & 2008 & 2009 & 2010 & 2011 \\ \hline Revenue & 1,304 & 1,379 & 1,417 & 1,441 & 1,525 & 1,613 & 1,870 & 1,593 & 1,595 & 2,132 & 2,330 \\ \hline \end{tabular} Revenue
The scatterplot indicates that the annual revenues have an increasing trend. Linear, exponential, quadratic, and cubic modeis were fit to the data starting with \( t=1 \), and the following output was generated.
Which of the following is the revenue forecast for 2013 found by the trend regression equation with the best fit? Multiple Choice About 2 bilion and 95 million dollars About 2 billion and 248 million dollars About 2 billion and 290 million dollars About 2 billion and 337 million dollars

Solution; Give that The scatterplot indicates that the annual revenues have an increasing trend. Linea

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