A cup of water at an initial temperature of \( 78^{\circ}C \) is placed in a
room at a constant temperature of \( 21^{\circ}C \). The temperature of the
water is measured every 5 minutes during a half-hour period.The results are
recorded as ordered pairs of the form \( (t \), \( T) \), where \( t \) is the time
(in minutes) and \( T \) is the temperature (in degrees Celsius).
\( \left(0, 78.0^{\circ}\right) \), \( \left(5 , 66.0^{\circ}\right) \), \(
\left(10, 57.5^{\circ}\right) \), \( \left(15 , 51.2^{\circ}\right) \), \(
\left(20 , 46.3^{\circ}\right) \), \( \left(25, 42.4^{\circ}\right) \), \(
\left(30 , 39.6^{\circ}\right) \)
(a) The graph of the model for the data should be asymptotic with the graph of
the temperature of the room. Subtract the room temperature from each of the
temperatures in the ordered pairs. Use a graphing utility to plot the data
points \( \left(t , T\right) \) and \( \left(t, T - 21\right) \).
(b) An exponential model for the data \( \left(t, T - 21\right) \) is given by \(
T - 21 = 54.4\left(0.964\right)^t \) Solve for \( T \) and graph the model.
Compare the result with the plot of the original data.
(c) Take the natural logarithms of the revised temperatures. Use a graphing
utility to plot the points \( \left(t, In\left(T - 21\right)\right) \) and
observe that the points appear to be linear. Use the regression feature of the
graphing utility to fit a line to these data. This resulting line has the form
\( In\left(T - 21\right) = at + b \). Solve for \( T \), and verify that the
result is equivalent to the model in part (b).
(d) Fit a rational model to the data. Take the reciprocals of the \( y
\)-coordinates of the revised data points to generate the points
\( \dfrac{1}{T - 21} = at + b \).
Solve for \( T \), and use a graphing utility to graph the rational function and
the original data points.
(e) Why did taking the logarithms of the temperatures lead to a linear scatter
plot? Why did taking the reciprocals of the temperatures lead to a linear
scatter plot?