Ypsilanti Market Research conducted a survey to find out whether people who earn more money purchase more expensive goods. The following graph indicates the relationship between income the survey subjects earned and the price of the home that they purchased. 500 450 400 350 300 5250 PRICE (Thousands of dollars per home) 200 150 100 50 0 0 10 20 30 40 50 60 70 80 90 100 INCOME (Thousands of dollars per year) ? The variable shown on the horizontal axis is thousands of dollars per year The units for the variable on the vertical axis are There are two ways to view the information presented on the graph. First, the graph tells us the amount a person with a certain income is likely to spend on a home, and second, it tells us the probable income of a person who spent a certain amount on a home. For example, if an individual earned $50,000 last year and purchased a new home, you would expect that person to have paid about for the home. Similarly, if someone just paid $250,000 for a home, you could use this graph to estimate that this person's income was probably around
Ypsilanti Market Research conducted a survey to find out whether people who earn more money purchase more expensive goods. The following graph indicates the relationship between income the survey subjects earned and the price of the home that they purchased. 500 450 400 350 300 5250 PRICE (Thousands of dollars per home) 200 150 100 50 0 0 10 20 30 40 50 60 70 80 90 100 INCOME (Thousands of dollars per year) ? The variable shown on the horizontal axis is thousands of dollars per year The units for the variable on the vertical axis are There are two ways to view the information presented on the graph. First, the graph tells us the amount a person with a certain income is likely to spend on a home, and second, it tells us the probable income of a person who spent a certain amount on a home. For example, if an individual earned $50,000 last year and purchased a new home, you would expect that person to have paid about for the home. Similarly, if someone just paid $250,000 for a home, you could use this graph to estimate that this person's income was probably around
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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
Transcribed Image Text:Ypsilanti Market Research conducted a survey to find out whether people who earn more money purchase
more expensive goods. The following graph indicates the relationship between income the survey subjects
earned and the price of the home that they purchased.
500
450
400
350
300
5250
PRICE (Thousands of dollars per home)
200
150
100
50
0
0 10 20 30 40 50 60 70 80 90 100
INCOME (Thousands of dollars per year)
?
The variable shown on the horizontal axis is thousands of dollars per year
The units for the variable on the vertical axis are
There are two ways to view the information presented on the graph. First, the graph tells us the amount a
person with a certain income is likely to spend on a home, and second, it tells us the probable income of a
person who spent a certain amount on a home. For example, if an individual earned $50,000 last year and
purchased a new home, you would expect that person to have paid about
for the home.
Similarly, if someone just paid $250,000 for a home, you could use this graph to estimate that this
person's income was probably around
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