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Author Question: The table below shows the age and annual income of 12 randomly selected college graduates all living ... (Read 538 times)

yoroshambo

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on: Apr 7, 2020
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.
Introductory Statistics ¦ Weiss ¦ 10th Edition
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Marked as best answer by yoroshambo on Apr 7, 2020

janeli

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Reply #1 on: Apr 7, 2020
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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Paul Shield1

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Reply #2 on: Mar 12, 2022
Thank you


Lexi B

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Reply #3 on: Oct 21, 2023
thank you


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