Intro Stats, Books a la Carte Edition (5th Edition)
5th Edition
ISBN: 9780134210285
Author: Richard D. De Veaux, Paul Velleman, David E. Bock
Publisher: PEARSON
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Chapter 8, Problem 57E
a.
To determine
Describe the association between these variables shown in the
b.
To determine
Interpret the meaning of slope in the equation about marriage ages.
c.
To determine
Explain whether the linear model is appropriate.
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Students have asked these similar questions
Please answer all questions, data is included:
A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food,
decor, service, and the cost per person. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the three ratings. The magazine has compiled the accompanying table of this summated ratings variable and the cost per person for 25 restaurants in a major city. Complete parts (a) through (e) below.
Summated Rating Cost ($ per person)
54 41
68 50
67 62
69 59
65 44
61 42
56 43
65 40
51 32
51…
Please answer all questions, data is included:
A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food,
decor, service, and the cost per person. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the three ratings. The magazine has compiled the accompanying table of this summated ratings variable and the cost per person for 25 restaurants in a major city. Complete parts (a) through (e) below.
Summated Rating Cost ($ per person)
54 41
68 50
67 62
69 59
65 44
61 42
56 43
65 40
51 32
51…
Q1: Please use the data set to create a regression equation or a regression line that can reflect the relationship between wealth and level of education in CA counties.
NOTES: You are required to: 1) clearly state what is the dependent variable (Y) and what is the independent variable (X); 2) correctly calculate the associated slope and intercept.
Q2: Please predict the related median household income when there is 70% of population over 25 with BA degree and higher.
Median Household Income ($)
% of population over 25 with BA degree and higher
100,929
42.1
71,348
20.5
59,961
25.0
69,588
21.1
108,689
39.4
90,996
32.1
63,284
19.5
53,746
27.5
58,528
13.4
66,834
15.2…
Chapter 8 Solutions
Intro Stats, Books a la Carte Edition (5th Edition)
Ch. 8.3 - Each of these scatterplots shows an unusual point....Ch. 8.3 - Prob. 2JCCh. 8.3 - Prob. 3JCCh. 8.7 - Prob. 4JCCh. 8.7 - Prob. 5JCCh. 8.7 - Prob. 6JCCh. 8 - Credit card spending An analysis of spending by a...Ch. 8 - Prob. 2ECh. 8 - Prob. 3ECh. 8 - Prob. 4E
Ch. 8 - Prob. 5ECh. 8 - Prob. 6ECh. 8 - Prob. 7ECh. 8 - Prob. 8ECh. 8 - Prob. 9ECh. 8 - Prob. 10ECh. 8 - Skinned knees There is a strong correlation...Ch. 8 - Prob. 12ECh. 8 - Prob. 13ECh. 8 - Average GPA An athletic director proudly states...Ch. 8 - Prob. 15ECh. 8 - Prob. 16ECh. 8 - BK protein Recall the data about the Burger King...Ch. 8 - Prob. 18ECh. 8 - Prob. 19ECh. 8 - Prob. 20ECh. 8 - Prob. 21ECh. 8 - Prob. 22ECh. 8 - Prob. 23ECh. 8 - Prob. 24ECh. 8 - Good model? In justifying his choice of a model, a...Ch. 8 - Prob. 26ECh. 8 - Movie dramas Heres a scatterplot of the production...Ch. 8 - Prob. 28ECh. 8 - Oakland passengers 2016 The scatterplot below...Ch. 8 - Prob. 30ECh. 8 - Unusual points Each of these four scatterplots...Ch. 8 - More unusual points Each of the following...Ch. 8 - Prob. 33ECh. 8 - Prob. 34ECh. 8 - Prob. 35ECh. 8 - Whats the effect? A researcher studying violent...Ch. 8 - Reading To measure progress in reading ability,...Ch. 8 - Prob. 38ECh. 8 - Heating After keeping track of his heating...Ch. 8 - Speed How does the speed at which you drive affect...Ch. 8 - Prob. 41ECh. 8 - Prob. 42ECh. 8 - TBill rates 2016 revisited In Exercise 41, you...Ch. 8 - Prob. 44ECh. 8 - Prob. 45ECh. 8 - Prob. 46ECh. 8 - Elephants and hippos We removed humans from the...Ch. 8 - Prob. 48ECh. 8 - Prob. 49ECh. 8 - Prob. 50ECh. 8 - Prob. 51ECh. 8 - Prob. 52ECh. 8 - Inflation 2016 The Consumer Price Index (CPI)...Ch. 8 - Prob. 54ECh. 8 - Prob. 55ECh. 8 - Prob. 56ECh. 8 - Prob. 57ECh. 8 - Prob. 58ECh. 8 - Prob. 59ECh. 8 - Prob. 60ECh. 8 - Prob. 61ECh. 8 - Prob. 62ECh. 8 - Prob. 63ECh. 8 - Boyle Scientist Robert Boyle examined the...Ch. 8 - Brakes The following table shows stopping...Ch. 8 - Pendulum A student experimenting with a pendulum...Ch. 8 - Planets Here is a table of the 9 sun-orbiting...Ch. 8 - Is Pluto a planet? Lets look again at the pattern...Ch. 8 - Planets and asteroids The asteroid belt between...Ch. 8 - Prob. 71ECh. 8 - Prob. 72ECh. 8 - Logs (not logarithms) The value of a log is based...Ch. 8 - Prob. 74ECh. 8 - Life expectancy history The table gives the Life...Ch. 8 - Prob. 76ECh. 8 - Prob. 77ECh. 8 - Prob. 78ECh. 8 - Prob. 79ECh. 8 - Prob. 80E
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- Does Table 2 represent a linear function? If so, finda linear equation that models the data.arrow_forwardWhat is interpolation when using a linear model?arrow_forwardDemand for Candy Bars In this problem you will determine a linear demand equation that describes the demand for candy bars in your class. Survey your classmates to determine what price they would be willing to pay for a candy bar. Your survey form might look like the sample to the left. a Make a table of the number of respondents who answered yes at each price level. b Make a scatter plot of your data. c Find and graph the regression line y=mp+b, which gives the number of respondents y who would buy a candy bar if the price were p cents. This is the demand equation. Why is the slope m negative? d What is the p-intercept of the demand equation? What does this intercept tell you about pricing candy bars? Would you buy a candy bar from the vending machine in the hallway if the price is as indicated. Price Yes or No 50 75 1.00 1.25 1.50 1.75 2.00arrow_forward
- Using your graphing calculator, make a scatter plot of the data from the table. Then graph your model from Question 2 along with the data. How well does your model fit the data? What could you do to try to improve your model?arrow_forwardDoes the following table represent a linear function ? If so, find the linear equation that models the data.arrow_forward16.) Use the following regression equation regarding airline tickets to answer the question. price=49+0.22 x (Distance) Note that Distance is the amount of miles between the departure and arrival cities, and Price is the cost of an airline ticket. Interpret the slope of the regression equation in the context of the data.arrow_forward
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- The computer output (below) shows a relationship where Y = Sale price for a home, X1 = living area, and X2 = # of bedrooms, X3 = # of bathrooms. We would like to predict Price (Y). There are three 2-variable regression relationships shown and one 4-variable multiple regression relationship shown. Regression Equation Price = 171032 + 120420 Bathrooms Model Summary S R-sq R-sq(adj) R-sq(pred) 267458 14.27% 14.17% 13.82% Regression Equation Price = 200274 + 113.68 Living Area Model Summary S R-sq R-sq(adj) R-sq(pred) 268449 13.54% 13.44% 13.10% Regression Equation Price = 338975 + 40234 Bedrooms Model Summary S R-sq R-sq(adj) R-sq(pred) 286741 1.35% 1.24% 0.92% **Multiple regression output is below: Regression Equation Price = 275641 + 84.7 Living Area - 66797 Bedrooms + 93925 Bathrooms Model Summary S R-sq R-sq(adj) R-sq(pred) 260320 18.97%…arrow_forwardNeed some helparrow_forward
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