Credit Cards The numbers of active American Express cards \(C\) (in millions) in
the years 1997 to 2006 are shown in the table. (Sourze: American Express)
$$
\begin{aligned}
&\begin{array}{|l|l|l|l|l|l|}
\hline \text { Year } & 1997 & 1998 & 1999 & 2000 & 2001 \\
\hline \text { Cards, C } & 42.7 & 42.7 & 46.0 & 51.7 & 55.2 \\
\hline
\end{array}\\\
&\begin{array}{|l|l|l|l|l|l|}
\hline \text { Year } & 2002 & 2003 & 2004 & 2005 & 2006 \\
\hline \text { Cards, C } & 57.3 & 60.5 & 65.4 & 71.0 & 78.0 \\
\hline
\end{array}
\end{aligned}
$$
(a) Use a graphing utility to create a scatter plot of the data. Let \(t\)
represent the year, with \(t=7\) corresponding to \(1997 .\)
(b) Use what you know about end behavior and the scatter plot from part (a) to
predict the sign of the leading coefficient of a quartic model for \(C\).
(c) Use the regression feature of a graphing utility to find a quartic model
for \(C\). Does your model agree with your answer from part (b)?
(d) Use a graphing utility to graph the model from part (c). Use the graph to
predict the year in which the number of active American Express cards would be
about 92 million. Is your prediction reasonable?