Statistics for Business and Economics
8th Edition
ISBN: 9780132745659
Author: Paul Newbold, William Carlson, Betty Thorne
Publisher: PEARSON
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Chapter 1, Problem 66E
To determine
Draw the scatter plot.
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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 car that they purchased.
The variable shown on the vertical axis is __________ (options: thousands of dollars per car, thousands of dollars per year, income, thousands of dollars, price, number of goods).
The units for the variable on the horizontal axis are _________ (options: thousands of dollars per car, thousands of dollars per year, income, thousands of dollars, price, number of goods).
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 car, and second, it tells us the probable income of a person who spent a certain amount on a car. For example, if an individual earned $50,000 last year and purchased a new car, you would expect that person to…
Alejandro is selling HDMI cables on eBay, and is trying to determine the best price to sell at. For the last 10 weeks, he has adjusted his price slightly each week and tracked the number of cables he sold. He plotted the results, and drew a line he feels fits the data well.
Price ($) 3, 3.25, 3.5, 3.75, 4, 4.25, 4.5, 4.75, 5
Quantity Sold - 50, 100, 150, 200, 250
a) The line of best fit passes through the points (3.50, 230) and (4.75, 210). Find an equation for the line.
Use variables: p for price in dollars, and Q for quantity of cables sold.
b) Using this model, predict the number of cables Alejandro would sell at a price of $3.65, to the nearest whole cable.
cables
Chapter 1 Solutions
Statistics for Business and Economics
Ch. 1.2 - Prob. 1ECh. 1.2 - Prob. 2ECh. 1.2 - Prob. 3ECh. 1.2 - Prob. 4ECh. 1.2 - Prob. 5ECh. 1.2 - Prob. 6ECh. 1.2 - Prob. 7ECh. 1.2 - Prob. 8ECh. 1.3 - Prob. 9ECh. 1.3 - Prob. 10E
Ch. 1.3 - Prob. 11ECh. 1.3 - Prob. 12ECh. 1.3 - Prob. 13ECh. 1.3 - Prob. 14ECh. 1.3 - Prob. 15ECh. 1.3 - Prob. 16ECh. 1.3 - Prob. 17ECh. 1.3 - Prob. 18ECh. 1.3 - Prob. 19ECh. 1.4 - Prob. 20ECh. 1.4 - Prob. 21ECh. 1.4 - Prob. 22ECh. 1.4 - Prob. 23ECh. 1.4 - Prob. 24ECh. 1.4 - Prob. 25ECh. 1.4 - Prob. 26ECh. 1.4 - Prob. 27ECh. 1.4 - Prob. 28ECh. 1.4 - Prob. 29ECh. 1.5 - Prob. 30ECh. 1.5 - Prob. 31ECh. 1.5 - Prob. 32ECh. 1.5 - Prob. 33ECh. 1.5 - Prob. 34ECh. 1.5 - Prob. 35ECh. 1.5 - Prob. 36ECh. 1.5 - Prob. 37ECh. 1.5 - Prob. 38ECh. 1.5 - Prob. 39ECh. 1.5 - Prob. 40ECh. 1.5 - Prob. 41ECh. 1.5 - Prob. 42ECh. 1.5 - Prob. 43ECh. 1.5 - Prob. 44ECh. 1.5 - Sales revenue totals (in dollars) by day of the...Ch. 1.5 - Prob. 46ECh. 1.6 - Prob. 47ECh. 1.6 - Prob. 48ECh. 1.6 - Prob. 49ECh. 1.6 - Prob. 50ECh. 1 - Prob. 51ECh. 1 - Prob. 52ECh. 1 - Prob. 53ECh. 1 - Prob. 54ECh. 1 - Prob. 55ECh. 1 - Prob. 56ECh. 1 - Prob. 57ECh. 1 - Prob. 58ECh. 1 - Prob. 59ECh. 1 - Prob. 60ECh. 1 - Prob. 61ECh. 1 - Prob. 62ECh. 1 - Prob. 63ECh. 1 - Prob. 64ECh. 1 - Prob. 65ECh. 1 - Prob. 66ECh. 1 - Prob. 67ECh. 1 - Prob. 68ECh. 1 - Prob. 69ECh. 1 - Prob. 71ECh. 1 - Prob. 72ECh. 1 - Prob. 73ECh. 1 - Prob. 74E
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