The Table Below Shows the Age and Annual Income of 12

The table below shows the age and annual income of 12 randomly selected college graduates all living in the city of Seattle.
$\begin{array}{l}\begin{array} { l c } \text { Age } & \text { Annual Income (dollars } \\\hline 26 & 28,520 \\31 & 36,750 \\55 & 72,155 \\47 & 43,225 \\38 & 34,197 \\50 & 60,030 \\29 & 25,005 \\23 & 31,625 \\33 & 55,975 \\40 & 37,064 \\52 & 75,082 \\25 & 19,055\end{array}\\\text { The scatterplot and regression line are graphed below: }\end{array}$

Would it be reasonable to use the regression equation to predict the annual income of a college Graduate in Seattle who is 90 years old? Explain your answer.

A) No; 90 year olds are outside the age range of the data.
B) No; the regression line does not fit the data very closely.
C) No; regression equations can not be used to predict values for which there is no input data.
D) Yes; the regression line fits the data quite closely.