EBK FINITE MATHEMATICS AND CALCULUS WIT
10th Edition
ISBN: 8220102020252
Author: RITCHEY
Publisher: PEARSON
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Chapter 1.3, Problem 12E
(a)
To determine
To find: The equation for the least square line.
(b)
To determine
To find: The rate of change of percent of households with Internet use at home growing per year.
(c)
To determine
To predict: The percent of households with Internet use at home in the year 2015 if the trend continues linearly.
(d)
To determine
To find: The year
(e)
To determine
To find: The
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The final question in the example is
(f) At an archaeological site with elevation 6.6 (thousand feet), what does the least-squares equation forecast for y = percentage of culturally unidentified artifacts? (Round your answer to two decimal places.)
%
The data in the table represent the weights of various domestic cars and their miles per gallon in the city for the 2008 model year. For these data,
the least-squares regression line is y = - 0.006x + 41.337. A twelfth car weighs 3,425 pounds and gets 12 miles per gallon.
(a) The coefficient of determination of the expanded data set is R =
%.
(Round to one decimal place as needed.)
Data Table
How does the addition of the twelfth car to the data set affect R?
Miles per
Weight
|(pounds), x
A. It increases R.
Gallon, y
Car 1
3,771
22
B. It decreases R2.
Car 2
3,990
19
C.
It does not affect R2.
3,534
Car 3
20
Car 4
3,172
24
(b) Is the point corresponding to the twelfth car influential? Is it an outlier?
Car 5
2,579
27
Car 6
3,730
20
A. No, it is not influential. Yes, it is an outlier.
Car 7
2,605
25
B. Yes, it is influential. No, it is not an outlier.
Car 8
3,777
19
C. No, it is not influential. No, it is not an outlier.
Car 9
3,308
19
D. Yes, it is influential. Yes, it is an outlier.
Car…
Based on data taken from airline fares and distances
One of the flights was 350 miles and its residual was -
flown, it is determined that the equation of the least-
105.00. What was the fare for this flight?
squares regression line is ŷ = 102.50+ 0.65x, where y is
the predicted fare and x is the distance, in miles.
$102.50
$435.00
$225.00
$330.00
Chapter 1 Solutions
EBK FINITE MATHEMATICS AND CALCULUS WIT
Ch. 1.1 - Find the slope of the line through (1, 5) and (4,...Ch. 1.1 - Find the equation of the line with x-intercept 4...Ch. 1.1 - Prob. 3YTCh. 1.1 - Find the equation of the line through (2, 9) and...Ch. 1.1 - Prob. 5YTCh. 1.1 - Prob. 6YTCh. 1.1 - Prob. 1WECh. 1.1 - Prob. 2WECh. 1.1 - Prob. 3WECh. 1.1 - Prob. 4WE
Ch. 1.1 - Prob. 1ECh. 1.1 - Prob. 2ECh. 1.1 - Prob. 3ECh. 1.1 - Prob. 4ECh. 1.1 - Prob. 5ECh. 1.1 - Prob. 6ECh. 1.1 - Prob. 7ECh. 1.1 - Prob. 8ECh. 1.1 - Prob. 9ECh. 1.1 - Prob. 10ECh. 1.1 - Prob. 11ECh. 1.1 - Prob. 12ECh. 1.1 - Prob. 13ECh. 1.1 - Prob. 14ECh. 1.1 - In Exercises 1524, find an equation in...Ch. 1.1 - Prob. 16ECh. 1.1 - In Exercises 1524, find an equation in...Ch. 1.1 - Prob. 18ECh. 1.1 - In Exercises 1524, find an equation in...Ch. 1.1 - Prob. 20ECh. 1.1 - In Exercises 1524, find an equation in...Ch. 1.1 - Prob. 22ECh. 1.1 - In Exercises 1524, find an equation in...Ch. 1.1 - Prob. 24ECh. 1.1 - Prob. 25ECh. 1.1 - Prob. 26ECh. 1.1 - Prob. 27ECh. 1.1 - In Exercises 2534, find an equation for each line...Ch. 1.1 - Prob. 29ECh. 1.1 - Prob. 30ECh. 1.1 - Prob. 31ECh. 1.1 - Prob. 32ECh. 1.1 - Prob. 33ECh. 1.1 - Prob. 34ECh. 1.1 - Prob. 35ECh. 1.1 - Prob. 36ECh. 1.1 - Prob. 37ECh. 1.1 - Prob. 38ECh. 1.1 - Prob. 39ECh. 1.1 - Prob. 40ECh. 1.1 - Prob. 41ECh. 1.1 - Prob. 42ECh. 1.1 - Prob. 43ECh. 1.1 - Prob. 44ECh. 1.1 - Prob. 45ECh. 1.1 - Prob. 46ECh. 1.1 - Prob. 47ECh. 1.1 - Graph each equation. 48. y = 6x + 12Ch. 1.1 - Prob. 49ECh. 1.1 - Prob. 50ECh. 1.1 - Prob. 51ECh. 1.1 - Prob. 52ECh. 1.1 - Prob. 53ECh. 1.1 - Prob. 54ECh. 1.1 - Prob. 55ECh. 1.1 - Prob. 56ECh. 1.1 - Prob. 57ECh. 1.1 - Graph each equation. 58. y = 5xCh. 1.1 - Graph each equation. 59. x + 4y = 0Ch. 1.1 - Prob. 60ECh. 1.1 - Prob. 61ECh. 1.1 - Prob. 62ECh. 1.1 - Prob. 63ECh. 1.1 - Prob. 64ECh. 1.1 - Prob. 65ECh. 1.1 - Life Sciences 66. HIV Infection The time interval...Ch. 1.1 - Prob. 67ECh. 1.1 - Prob. 68ECh. 1.1 - Prob. 69ECh. 1.1 - Prob. 70ECh. 1.1 - Prob. 71ECh. 1.1 - Prob. 72ECh. 1.1 - Prob. 73ECh. 1.1 - Prob. 74ECh. 1.1 - Prob. 75ECh. 1.2 - Calculate g(5). Let g(x) = 4x + 5.Ch. 1.2 - Prob. 2YTCh. 1.2 - Prob. 3YTCh. 1.2 - Prob. 4YTCh. 1.2 - Prob. 5YTCh. 1.2 - Prob. 6YTCh. 1.2 - Prob. 1WECh. 1.2 - Prob. 2WECh. 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. 1.2 - Prob. 9ECh. 1.2 - Prob. 10ECh. 1.2 - Prob. 11ECh. 1.2 - In Exercises 1114, decide whether the statement is...Ch. 1.2 - Prob. 13ECh. 1.2 - Prob. 14ECh. 1.2 - Prob. 15ECh. 1.2 - Prob. 16ECh. 1.2 - Prob. 17ECh. 1.2 - Prob. 18ECh. 1.2 - Write a linear cost function for each situation....Ch. 1.2 - Prob. 20ECh. 1.2 - Write a linear cost function for each situation....Ch. 1.2 - Prob. 22ECh. 1.2 - Assume that each situation can be expressed as a...Ch. 1.2 - Prob. 24ECh. 1.2 - Assume that each situation can be expressed as a...Ch. 1.2 - Prob. 26ECh. 1.2 - Business and Economics 27. Supply and Demand...Ch. 1.2 - Supply and Demand Suppose that the demand and...Ch. 1.2 - Supply and Demand Let the supply and demand...Ch. 1.2 - Supply and Demand Let the supply and demand...Ch. 1.2 - Supply and Demand Suppose that the supply function...Ch. 1.2 - Prob. 32ECh. 1.2 - Break-Even Analysis Producing x units of tacos...Ch. 1.2 - Prob. 34ECh. 1.2 - T-Shirt Cost Joanne Wendelken sells silk-screened...Ch. 1.2 - Prob. 36ECh. 1.2 - Marginal Cost of Coffee The manager of a...Ch. 1.2 - Marginal Cost of a New Plant In deciding whether...Ch. 1.2 - Break-Even Analysis You are the manager of a firm....Ch. 1.2 - Prob. 40ECh. 1.2 - Break-Even Analysis You are the manager of a firm....Ch. 1.2 - Prob. 42ECh. 1.2 - Prob. 43ECh. 1.2 - Prob. 44ECh. 1.2 - Life Sciences 45. Deer Ticks Deer ticks are of...Ch. 1.2 - Prob. 46ECh. 1.2 - Prob. 47ECh. 1.2 - Prob. 48ECh. 1.2 - Prob. 49ECh. 1.2 - Prob. 50ECh. 1.3 - Calculate the least squares line for the following...Ch. 1.3 - Prob. 2YTCh. 1.3 - Prob. 1ECh. 1.3 - Prob. 2ECh. 1.3 - Prob. 3ECh. 1.3 - Prob. 4ECh. 1.3 - Prob. 5ECh. 1.3 - Prob. 6ECh. 1.3 - Prob. 7ECh. 1.3 - Prob. 8ECh. 1.3 - Prob. 9ECh. 1.3 - Prob. 10ECh. 1.3 - Prob. 11ECh. 1.3 - Prob. 12ECh. 1.3 - Prob. 13ECh. 1.3 - Prob. 14ECh. 1.3 - Mean Earnings The mean earnings (in dollars) of...Ch. 1.3 - Air Fares Using Expedia, a discount travel...Ch. 1.3 - Prob. 17ECh. 1.3 - Size of Hunting Parties In the 1960s, the famous...Ch. 1.3 - Crickets Chirping Biologists have observed a...Ch. 1.3 - Prob. 20ECh. 1.3 - Prob. 21ECh. 1.3 - Prob. 22ECh. 1.3 - SAT Scores At Hofstra University, all students...Ch. 1.3 - Prob. 24ECh. 1.3 - Air Conditioning While shopping for an air...Ch. 1.3 - Prob. 26ECh. 1.3 - Running If you think a marathon is a long race,...Ch. 1 - Determine whether each statement is true or false,...Ch. 1 - Prob. 2RECh. 1 - Prob. 3RECh. 1 - Prob. 4RECh. 1 - Prob. 5RECh. 1 - Prob. 6RECh. 1 - Prob. 7RECh. 1 - Prob. 8RECh. 1 - Prob. 9RECh. 1 - Prob. 10RECh. 1 - Determine whether each statement is true or false,...Ch. 1 - Prob. 12RECh. 1 - Prob. 13RECh. 1 - Prob. 14RECh. 1 - Prob. 15RECh. 1 - Prob. 16RECh. 1 - Prob. 17RECh. 1 - Prob. 18RECh. 1 - Prob. 19RECh. 1 - Prob. 20RECh. 1 - Prob. 21RECh. 1 - Prob. 22RECh. 1 - Prob. 23RECh. 1 - Prob. 24RECh. 1 - Prob. 25RECh. 1 - Prob. 26RECh. 1 - Prob. 27RECh. 1 - Prob. 28RECh. 1 - Prob. 29RECh. 1 - Prob. 30RECh. 1 - Prob. 31RECh. 1 - Prob. 32RECh. 1 - Prob. 33RECh. 1 - Prob. 34RECh. 1 - Prob. 35RECh. 1 - Prob. 36RECh. 1 - Prob. 37RECh. 1 - Prob. 38RECh. 1 - Prob. 39RECh. 1 - Prob. 40RECh. 1 - Prob. 41RECh. 1 - Prob. 42RECh. 1 - Prob. 43RECh. 1 - Prob. 44RECh. 1 - Prob. 45RECh. 1 - Prob. 46RECh. 1 - Prob. 47RECh. 1 - Prob. 48RECh. 1 - Prob. 49RECh. 1 - Prob. 50RECh. 1 - Prob. 51RECh. 1 - Prob. 52RECh. 1 - Prob. 53RECh. 1 - Prob. 54RECh. 1 - Prob. 55RECh. 1 - Prob. 56RECh. 1 - Prob. 57RECh. 1 - Prob. 58RECh. 1 - Prob. 59RECh. 1 - Life Sciences 60. World Health In general, people...Ch. 1 - Prob. 61RECh. 1 - Prob. 62RECh. 1 - Prob. 63RECh. 1 - Movies A mathematician exploring the relationship...
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- Sales Barnes & Noble had annual sales of $6.8 billion in 2013 and $6.1 billion in 2015. Use the Midpoint Formula to estimate the sales in 2014. Assume that the annual sales followed a linear pattern.arrow_forwardHOW DO YOU SEE IT? Discuss how well a linear model approximates the data shown in each scatter plot.arrow_forwardCellular Phone Subscribers The table shows the numbers of cellular phone subscribers y in millions in the United States from 2008 through 2013. Source: CTIA- The Wireless Association Year200820092010201120122013Number,y270286296316326336 (a) Find the least squares regression line for the data. Let x represent the year, with x=8 corresponding to 2008. (b) Use the linear regression capabilities of a graphing utility to find a linear model for the data. How does this model compare with the model obtained in part a? (c) Use the linear model to create a table of estimated values for y. Compare the estimated values with the actual data.arrow_forward
- What is extrapolation when using a linear model?arrow_forwardEach graphing utility screen below shows the least squares regression line for a set of data. The equations and r-values for the models are given. y = 0.68x + 2.7 y = 0.41x + 2.7 y = -0.62x + 10.0 r = 0.986 = -0.973 0.624 (A) (B) 12 12 0. 9. (C) 12 9. (a) Determine the equation and correlation coefficient (r-value) that represents each graph. model (A) y = model (A) r = model (B) y = model (B)arrow_forwardA least squares regression model performed to predict the selling price of houses found the following equation: Pricê = 169.328+35.3Area + 0.718Lotsize - 6543Age where Price is in dollars, Area is in square feet, Lotsize is in square feet, and Age is in years. The R2 is 0.92. One of the following interpretations is correct. Which is it? Explain why. a.) Each year a house Ages, it is worth $6543 less. b.) Every extra square foot of Area is associated with an additional $35.30 in average price, for houses with a given Lotsize and Age. c.) Every dollar in price means Lotsize increases 0.718 square feet. d.) This model fits 92% of the data points exactly.arrow_forward
- esc An experimental drug is being tested on mice. Different mice were given different dosages of the drug and, among other things, the heartrates of the mice were measured an hour after the drug was ingested. For a random sample of 75 mice, the least-squares regression equation relating the dosage and heartrate was y = 72.53-1.61x. (In this equation, x represents the dosage, in milligrams, and y represents the heartrate, in beats per minute.) The standard error of the slope of this least-squares regression line is approximately 0.65. [ami] D 1 Based on this information, test whether there is a significant linear relationship between the drug dosage and the heartrate of a mouse and hour after drug ingestion by doing a hypothesis test regarding the population slope B₁. (Assume that the variable y follows a normal distribution for each value of x and that the other regression assumptions are satisfied.) Use the 0.05 level of significance, and perform a two-tailed test. Then complete the…arrow_forwardWhere is the quadratic model for the data?arrow_forwardUsing technology, what is the slope of the least-squares regression line and what is its interpretation? The slope is 1.98, which means for each additional inch in height, the child’s weight will increase by 1.98 pounds.arrow_forward
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