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The Table Below Shows the Age and Annual Income of 12

Question 23

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The table below shows the age and annual income of 12 randomly selected college graduates all living in the city of Seattle.
 Age  Annual Income (dollars 2628,5203136,7505572,1554743,2253834,1975060,0302925,0052331,6253355,9754037,0645275,0822519,055 The scatterplot and regression line are graphed below: \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}
 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.
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.

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