Mathematical Statistics with Applications
7th Edition
ISBN: 9780495110811
Author: Dennis Wackerly, William Mendenhall, Richard L. Scheaffer
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter 11.13, Problem 78E
To determine
Find a 98% prediction interval for Automobile L sales in 2004.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
A statistical program is recommended.
The number of users of a certain website (in millions) from 2004 through 2011 follows.
Year
Period
Users (Millions)
2004
1
1
2005
2
6
2006
3
11
2007
4
57
2008
5
145
2009
6
361
2010
7
609
2011
8
845
Using Minitab or Excel, develop a quadratic trend equation that can be used to forecast users (in millions). (Round your numerical values to one decimal place.)
A statistical program is recommended.
The number of users of a certain website (in millions) from 2004 through 2011 follows.
Year
Period
Users (Millions)
2004
1
1
2005
2
7
2006
3
13
2007
4
57
2008
5
145
2009
6
360
2010
7
608
2011
8
846
B. Using Minitab or Excel, develop a quadratic trend equation that can be used to forecast users (in millions). (Round your numerical values to one decimal place.)
The number of users of a certain website (in millions) from 2004 through 2011 follows.
Year
Period
Users (Millions)
2004
1
1
2005
2
7
2006
3
13
2007
4
57
2008
5
145
2009
6
360
2010
7
608
2011
8
846
(b) Using Minitab or Excel, develop a quadratic trend equation that can be used to forecast users (in millions). (Round your numerical values to one decimal place.)
Chapter 11 Solutions
Mathematical Statistics with Applications
Ch. 11.3 - If 0 and 1 are the least-squares estimates for the...Ch. 11.3 - Prob. 2ECh. 11.3 - Fit a straight line to the five data points in the...Ch. 11.3 - Auditors are often required to compare the audited...Ch. 11.3 - Prob. 5ECh. 11.3 - Applet Exercise Refer to Exercises 11.2 and 11.5....Ch. 11.3 - Prob. 7ECh. 11.3 - Laboratory experiments designed to measure LC50...Ch. 11.3 - Prob. 9ECh. 11.3 - Suppose that we have postulated the model...
Ch. 11.3 - Some data obtained by C.E. Marcellari on the...Ch. 11.3 - Processors usually preserve cucumbers by...Ch. 11.3 - J. H. Matis and T. E. Wehrly report the following...Ch. 11.4 - a Derive the following identity:...Ch. 11.4 - An experiment was conducted to observe the effect...Ch. 11.4 - Prob. 17ECh. 11.4 - Prob. 18ECh. 11.4 - A study was conducted to determine the effects of...Ch. 11.4 - Suppose that Y1, Y2,,Yn are independent normal...Ch. 11.4 - Under the assumptions of Exercise 11.20, find...Ch. 11.4 - Prob. 22ECh. 11.5 - Use the properties of the least-squares estimators...Ch. 11.5 - Do the data in Exercise 11.19 present sufficient...Ch. 11.5 - Use the properties of the least-squares estimators...Ch. 11.5 - Let Y1, Y2, . . . , Yn be as given in Exercise...Ch. 11.5 - Prob. 30ECh. 11.5 - Using a chemical procedure called differential...Ch. 11.5 - Prob. 32ECh. 11.5 - Prob. 33ECh. 11.5 - Prob. 34ECh. 11.6 - For the simple linear regression model Y = 0 + 1x...Ch. 11.6 - Prob. 36ECh. 11.6 - Using the model fit to the data of Exercise 11.8,...Ch. 11.6 - Refer to Exercise 11.3. Find a 90% confidence...Ch. 11.6 - Refer to Exercise 11.16. Find a 95% confidence...Ch. 11.6 - Refer to Exercise 11.14. Find a 90% confidence...Ch. 11.6 - Prob. 41ECh. 11.7 - Suppose that the model Y=0+1+ is fit to the n data...Ch. 11.7 - Prob. 43ECh. 11.7 - Prob. 44ECh. 11.7 - Prob. 45ECh. 11.7 - Refer to Exercise 11.16. Find a 95% prediction...Ch. 11.7 - Refer to Exercise 11.14. Find a 95% prediction...Ch. 11.8 - The accompanying table gives the peak power load...Ch. 11.8 - Prob. 49ECh. 11.8 - Prob. 50ECh. 11.8 - Prob. 51ECh. 11.8 - Prob. 52ECh. 11.8 - Prob. 54ECh. 11.8 - Prob. 55ECh. 11.8 - Prob. 57ECh. 11.8 - Prob. 58ECh. 11.8 - Prob. 59ECh. 11.8 - Prob. 60ECh. 11.9 - Refer to Example 11.10. Find a 90% prediction...Ch. 11.9 - Prob. 62ECh. 11.9 - Prob. 63ECh. 11.9 - Prob. 64ECh. 11.9 - Prob. 65ECh. 11.10 - Refer to Exercise 11.3. Fit the model suggested...Ch. 11.10 - Prob. 67ECh. 11.10 - Fit the quadratic model Y=0+1x+2x2+ to the data...Ch. 11.10 - The manufacturer of Lexus automobiles has steadily...Ch. 11.10 - a Calculate SSE and S2 for Exercise 11.4. Use the...Ch. 11.12 - Consider the general linear model...Ch. 11.12 - Prob. 72ECh. 11.12 - Prob. 73ECh. 11.12 - An experiment was conducted to investigate the...Ch. 11.12 - Prob. 75ECh. 11.12 - The results that follow were obtained from an...Ch. 11.13 - Prob. 77ECh. 11.13 - Prob. 78ECh. 11.13 - Prob. 79ECh. 11.14 - Prob. 80ECh. 11.14 - Prob. 81ECh. 11.14 - Prob. 82ECh. 11.14 - Prob. 83ECh. 11.14 - Prob. 84ECh. 11.14 - Prob. 85ECh. 11.14 - Prob. 86ECh. 11.14 - Prob. 87ECh. 11.14 - Prob. 88ECh. 11.14 - Refer to the three models given in Exercise 11.88....Ch. 11.14 - Prob. 90ECh. 11.14 - Prob. 91ECh. 11.14 - Prob. 92ECh. 11.14 - Prob. 93ECh. 11.14 - Prob. 94ECh. 11 - At temperatures approaching absolute zero (273C),...Ch. 11 - A study was conducted to determine whether a...Ch. 11 - Prob. 97SECh. 11 - Prob. 98SECh. 11 - Prob. 99SECh. 11 - Prob. 100SECh. 11 - Prob. 102SECh. 11 - Prob. 103SECh. 11 - An experiment was conducted to determine the...Ch. 11 - Prob. 105SECh. 11 - Prob. 106SECh. 11 - Prob. 107SE
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- a. Make a scatter plot of the data in the table below.b. Does it appear that a quadratic model or a powermodel is the better fit for the data?arrow_forward(a) If per capita GDP rises by $1,000, by how much does the % of GDP spent on health change? (b) If the slope coefficient equals zero what is the implied income elasticity of health ex- penditures? Explain. (c) Test at 5% whether or not there is a relationship between healthgdp and gdppc.arrow_forward(a) according to the linear model, What was the average cost of the room and board at public four year colleges for the school year ending in 2015? The average cost in 2015 was $___(Round to the nearest Dollar as needed)arrow_forward
- Data were collected from libraries about the number of patrons who have overdue books and how long they have been using the library. Years Using Library 1 1 1.5 3 3.5 5 7 10 Number of Overdue Books 12 9 10 6 5 4 2 2 The equation ŷ = 12(0.81)x is a model that fits the data. Which of the following uses the model correctly and is an example of extrapolation? A patron who has been using the library for 2 years is predicted to have between 7 and 8 overdue books. A patron who has been using the library for 13 years is predicted to have between 6 and 7 overdue books. A patron who has been using the library for 2 years is predicted to have more than 94 overdue books. A patron who has been using the library for 13 years is predicted to have less than 1 overdue book.arrow_forwardQ3\Create the FDD table for the given data set. Use it to interpolate of consumption for year(1955?.A\For a linear interpolation use the points x=202.7 and x=322.9.B\For a quadratic interpolation use the points x=202.7 , x=322.9 and x=411.2arrow_forwardA house is purchased for $140,000 in January 2004. A year later, the house next door is sold for $149,800. The two houses are of the same style and size and are in similar condition, so they should have equal value.Use the model v = 140e0.0676586485t, where t is the number of years after January 2004 and v is the value in thousands of dollars, to predict when the house would be worth $290,000.arrow_forward
- Q2 how many pPhones should the pear company produce and sell to maximize profit? What is the answer for x ? x=??arrow_forwardA Zumba instructor remembers the data given in the following table, which shows the recommendedmaximum exercise heart rates for individuals of the given ages.Age (x years) 20 40 60Maximum heart rate 170 153 136(y beats per minute) c. Find the equation of the least-squares line.d. Use the equation from part c to predict the maximum exercise heart rate for a person who is 72.e. Is the procedure in part d an example of interpolation or extrapolation?arrow_forward#a. Predict the sales resulting from a $15,000 investment in inventory and an advertising budget of $10,000.arrow_forward
- A cell phone company offers aninternational plan by charging $30 for the first 80 minutes, plus$0.50 for each minute over 80.(a) Write a linear model that relates the cost C, in dollars, oftalking x minutes, assuming x ≥ 80.(b) What is the cost of talking 105 minutes? 120 minutes?arrow_forwardUse a graphing calculator to determine the linear, quadratic, or exponential equation that best represents the data. For linear and quadratics, round slope, y -intercept, and coefficients to the nearest integer. For exponential, round a to the nearest integer and b to the nearest tenth. Hour Temperature 1 35 2 45 3 50 4 55 5 47 6 40 7 34 y=2x2-15x-22 y=2x2+15x+22 y=-2x2+15x-22 y=-2x2+15x+22 y=-2x2-15x-22arrow_forwardHamed own a local gold market that currently has 1159129 subscriber in Instagram at a quarterly charge of R.O. 19. He notices that if he raises the price of his commodity to R.O. (19 + 4), he will lose 9127 subscriber. Assuming that subscriptions are linearly related to the price, what price should Hamed charge for a quarterly subscription to maximize his revenue?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:9781133382119
Author:Swokowski
Publisher:Cengage
Learn Algebra 6 : Rate of Change; Author: Derek Banas;https://www.youtube.com/watch?v=Dw701mKcJ1k;License: Standard YouTube License, CC-BY