Intro Stats, Books a la carte Plus NEW MyLab Statistics with Pearson eText -- Access Card Package (5th Edition)
5th Edition
ISBN: 9780134210247
Author: Richard D. De Veaux, Paul Velleman, David E. Bock
Publisher: PEARSON
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Chapter 7, Problem 71E
a.
To determine
Find a model to predict %Body fat from weight.
b.
To determine
Explain whether the linear model is appropriate.
c.
To determine
Find the meaning of slope in the equation.
d.
To determine
Explain whether the model is likely to make reliable estimate.
e.
To determine
Find the residual for a person who weighs 190 pounds and gas 21% body fat.
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Body fat It is difficult to determine a person’s bodyfat percentage accurately without immersing him orher in water. Researchers hoping to find ways to makea good estimate immersed 20 male subjects, thenmeasured their waists and recorded their weights.a) Create a model to predict %Body Fat fromWeight.b) Do you think a linear model is appropriate?Explain.c) Interpret the slope of your model.d) Is your model likely to make reliable estimates?Explain.e) What is the residual for a person who weighs 190pounds and has 21% body fat?
Used cars 2011 Carmax.com lists numerous ToyotaCorollas for sale within a 250 mile radius of Redlands,CA. The table below shows the ages of the cars and theadvertised prices.a) Make a scatterplot for these data.b) Describe the association between Age and Price of aused Corolla.c) Do you think a linear model is appropriate?d) Computer software says that R2 = 89.1,. What is thecorrelation between Age and Price?e) Explain the meaning of R2
in this context.
f) Why doesn’t this model explain 100% of the variabil-ity in the price of a used Corolla?
How wide is the chasm between what men and women earn in the workplace? According to a 2015 analysis from a
national women's group, women lose $435,049 over the course of a career because of the pay gap. The bar graph to the
right shows the average earnings in the United States for men and women at ages 22 and 55. This exercise involves the
graphs of models for the data shown in the rectangular coordinate system to the right. Complete parts (a) through (c)
below.
BEEB
Average Yearly Earnings in the
U.S., by Gender and Age
M(age=33)=$thousand
(Type an integer or decimal rounded to one decimal place as needed.)
Average Yearly Earnings ($1000s)
70-
60-
Men
50-Women-
40-
30-
20-
10-
0-
22 Age
55
Average Yearly Earnings ($1000s)
A
$70 (3087)
$60-
$30
$20-
$10-
$0
} e
$50 (0.23)
$40
BN 9
ST
(Use integers or decimals for any numbers in the expression. Round to two decimal places as needed.)
b. Use the two points for women shown on the graph to find a function in the form W(x) = mx + b that…
Chapter 7 Solutions
Intro Stats, Books a la carte Plus NEW MyLab Statistics with Pearson eText -- Access Card Package (5th Edition)
Ch. 7.4 - A scatterplot of house Price (in dollars) vs....Ch. 7.4 - A scatterplot of house Price (in dollars) vs....Ch. 7.4 - A scatterplot of house Price (in dollars) vs....Ch. 7.4 - A scatterplot of house Price (in dollars) vs....Ch. 7.4 - A scatterplot of house Price (in dollars) vs....Ch. 7.4 - Prob. 6JCCh. 7.6 - Back to our regression of house Price () on house...Ch. 7.6 - Back to our regression of house Price () on house...Ch. 7.6 - Back to our regression of house Price () on house...Ch. 7 - True or false If false, explain briefly. a) We...
Ch. 7 - True or false II If false, explain briefly. a)...Ch. 7 - Prob. 3ECh. 7 - Prob. 4ECh. 7 - Bookstore sales revisited Recall the data we saw...Ch. 7 - Prob. 6ECh. 7 - Prob. 7ECh. 7 - Prob. 8ECh. 7 - Bookstore sales once more Here are the residuals...Ch. 7 - Prob. 10ECh. 7 - Prob. 11ECh. 7 - Prob. 12ECh. 7 - Prob. 13ECh. 7 - Prob. 14ECh. 7 - Prob. 15ECh. 7 - Prob. 16ECh. 7 - More cereal Exercise 15 describes a regression...Ch. 7 - Prob. 18ECh. 7 - Another bowl In Exercise 15, the regression model...Ch. 7 - More engine size In Exercise 16, the regression...Ch. 7 - Cereal again The correlation between a cereals...Ch. 7 - Prob. 22ECh. 7 - Prob. 23ECh. 7 - Prob. 24ECh. 7 - Prob. 25ECh. 7 - Prob. 26ECh. 7 - Prob. 27ECh. 7 - Residuals Tell what each of the residual plots...Ch. 7 - Real estate A random sample of records of home...Ch. 7 - Prob. 30ECh. 7 - Prob. 31ECh. 7 - Prob. 32ECh. 7 - Real estate again The regression of Price on Size...Ch. 7 - Prob. 34ECh. 7 - Prob. 35ECh. 7 - More misinterpretations A Sociology student...Ch. 7 - Real estate redux The regression of Price on Size...Ch. 7 - Prob. 38ECh. 7 - Prob. 39ECh. 7 - Prob. 40ECh. 7 - Prob. 41ECh. 7 - Last ride Consider the roller coasters (with the...Ch. 7 - Prob. 43ECh. 7 - Prob. 44ECh. 7 - Prob. 45ECh. 7 - Prob. 46ECh. 7 - Prob. 47ECh. 7 - Prob. 48ECh. 7 - Prob. 49ECh. 7 - Interest rates and mortgages 2015 again In Chapter...Ch. 7 - Online clothes An online clothing retailer keeps...Ch. 7 - Online clothes II For the online clothing retailer...Ch. 7 - Prob. 53ECh. 7 - Success in college Colleges use SAT scores in the...Ch. 7 - SAT, take 2 Suppose we wanted to use SAT math...Ch. 7 - Prob. 56ECh. 7 - Prob. 57ECh. 7 - Wildfires 2015sizes We saw in Exercise 57 that the...Ch. 7 - Used cars 2014 Carmax.com lists numerous Toyota...Ch. 7 - Drug abuse revisited Chapter 6, Exercise 42...Ch. 7 - Prob. 61ECh. 7 - Prob. 62ECh. 7 - Prob. 63ECh. 7 - Chicken Chicken sandwiches are often advertised as...Ch. 7 - Prob. 65ECh. 7 - Cost of living 2016 Numbeo.com lists the cost of...Ch. 7 - Prob. 67ECh. 7 - Prob. 68ECh. 7 - Prob. 69ECh. 7 - Climate change 2016, revisited In Exercise 69, we...Ch. 7 - Prob. 71ECh. 7 - Prob. 72ECh. 7 - Prob. 73ECh. 7 - Heptathlon revisited again We saw the data for the...Ch. 7 - Hard water In an investigation of environmental...Ch. 7 - Gators Wildlife researchers monitor many wildlife...Ch. 7 - Prob. 77ECh. 7 - Least squares Consider the four points (200,1950),...
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