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trancy trancy
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Posts: 386
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4 years ago
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)
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


The scatterplot and regression line are graphed below:



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.

▸ Yes; the regression line fits the data quite closely.

▸ No; regression equations can not be used to predict values for which there is no input data.

▸ No; the regression line does not fit the data very closely.

▸ No; 90 year olds are outside the age range of the data.
Textbook 
Introductory Statistics

Introductory Statistics


Edition: 10th
Author:
Read 32 times
1 Reply
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Antoinette12Antoinette12
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Posts: 386
4 years ago
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trancy Author
wrote...

4 years ago
Good timing, thanks!
yen
wrote...

Yesterday
I appreciate what you did here, answered it right Smiling Face with Open Mouth
wrote...

2 hours ago
this is exactly what I needed
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