Statistics for Business and Economics (13th Edition)
13th Edition
ISBN: 9780134506593
Author: James T. McClave, P. George Benson, Terry Sincich
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Question
Chapter 12.3, Problem 12.7LM
a.
To determine
To explain: Whether the values of SSE and
b.
To determine
To find: Whether the model is useful for predicting y or not.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Arm circumferences (cm) and heights (cm) are measured from randomly selected adult females. The 142 pairs of measurements yield x=32.14cm, y=163.36cm, r=.084, P value=.32 and y=160+.111x. Find the best predicted value of y (height) given an adult female with an arm circumference of 40cm. Let the predictor variable x be arm circumference and the response variable y be height. Use a .05 significance level.
Consider a regression analysis with n = 47 and three potential independent variables. Suppose that one of the independent variables has a correlation of 0.95 with the dependent variable. Does this imply that this independent variable will have a very large Student’s t statistic in the regression analysis with all three predictor variables?
A state claims that there is a linear relationship between the number of tollbooths open at the same time and the revenue generated by tolls. The state collected data and used the data to test the claim that there is a linear relationship at a significance level of α=0.05. The state tested the following hypotheses.
H0:β1=0Ha:β1≠0
The test yielded a p-value of 0.03. Which of the following is a correct conclusion about the state’s claim?
The null hypothesis is rejected because 0.03<0.05. There is sufficient evidence to suggest that there is a linear relationship between revenue and the number of tollbooths.
A
The null hypothesis is not rejected because 0.03<0.05. There is sufficient evidence to suggest that there is a linear relationship between revenue and the number of tollbooths.
B
The null hypothesis is rejected because 0.03<0.05. There is not sufficient evidence to suggest that there is a linear relationship between revenue and the number of…
Chapter 12 Solutions
Statistics for Business and Economics (13th Edition)
Ch. 12.3 - Write a first-order model relating E(y) to a. two...Ch. 12.3 - Minitab was used to fit the model E(y) = (0 + 1x1...Ch. 12.3 - Suppose you fit the multiple regression model y =0...Ch. 12.3 - Suppose you fit the first-order multiple...Ch. 12.3 - Prob. 12.5LMCh. 12.3 - Prob. 12.6LMCh. 12.3 - Prob. 12.7LMCh. 12.3 - If the analysis of variance F-test leads to the...Ch. 12.3 - Ambiance of 5-star hotels. Although invisible and...Ch. 12.3 - Forecasting movie revenues with Twitter. Refer to...
Ch. 12.3 - Accounting and Machiavellianism. Refer to the...Ch. 12.3 - Prob. 12.12ACBCh. 12.3 - Predicting elements in aluminum alloys. Aluminum...Ch. 12.3 - Novelty of a vacation destination. Many tourists...Ch. 12.3 - Arsenic in groundwater. Environmental Science ...Ch. 12.3 - Reality TV and cosmetic surgery. How much...Ch. 12.3 - Contamination from a plant's discharge. Refer to...Ch. 12.3 - Cooling method for gas turbines. Refer to the...Ch. 12.3 - Rankings of research universities. Refer to the...Ch. 12.3 - Bubble behavior in subcooled flow boiling. In...Ch. 12.3 - Prob. 12.22ACICh. 12.3 - Prob. 12.23ACACh. 12.3 - Prob. 12.24ACACh. 12.4 - Characteristics of lead users. Refer to the...Ch. 12.4 - Prob. 12.26ACBCh. 12.4 - Reality TV and cosmetic surgery. Refer to the Body...Ch. 12.4 - Chemical plant contamination. Refer to Exercise...Ch. 12.4 - Prob. 12.29ACBCh. 12.4 - Arsenic in groundwater. Refer to the Environmental...Ch. 12.4 - Prob. 12.32ACICh. 12.4 - Prob. 12.33ACICh. 12.4 - Boiler drum production. In a production facility,...Ch. 12.5 - Suppose the true relationship between E(y) and the...Ch. 12.5 - Suppose you fit the interaction model y = 0 + x1 +...Ch. 12.5 - Prob. 12.37LMCh. 12.5 - Tipping behavior in restaurants. Can food servers...Ch. 12.5 - Forecasting movie revenues with Twitter. Refer to...Ch. 12.5 - Prob. 12.41ACBCh. 12.5 - Prob. 12.42ACBCh. 12.5 - Reality TV and cosmetic surgery. Refer to the Body...Ch. 12.5 - Factors that impact an auditors judgment. A study...Ch. 12.5 - Service workers and customer relations. A study in...Ch. 12.5 - Bubble behavior in subcooled flow boiling. Refer...Ch. 12.5 - Arsenic in groundwater. Refer to the Environmental...Ch. 12.5 - Cooling method for gas turbines. Refer to the...Ch. 12.6 - Write a second-order model relating the mean of y,...Ch. 12.6 - Prob. 12.50LMCh. 12.6 - Prob. 12.51LMCh. 12.6 - Prob. 12.52LMCh. 12.6 - Minitab was used to fit the complete second-order...Ch. 12.6 - Personality traits and job performance. When...Ch. 12.6 - Going for it on fourth-down in the NFL. Refer to...Ch. 12.6 - Prob. 12.56ACBCh. 12.6 - Prob. 12.57ACBCh. 12.6 - Assertiveness and leadership. Management...Ch. 12.6 - Goal congruence in top management teams. Do chief...Ch. 12.6 - Prob. 12.60ACICh. 12.6 - Revenues of popular movies. The Internet Movie...Ch. 12.6 - Prob. 12.62ACICh. 12.6 - Prob. 12.63ACICh. 12.6 - Prob. 12.64ACICh. 12.6 - Prob. 12.65ACICh. 12.7 - Write a regression model relating the mean value...Ch. 12.7 - Prob. 12.67LMCh. 12.7 - Prob. 12.68LMCh. 12.7 - Prob. 12.69LMCh. 12.7 - Prob. 12.70ACBCh. 12.7 - Prob. 12.71ACBCh. 12.7 - Prob. 12.72ACBCh. 12.7 - Prob. 12.73ACBCh. 12.7 - Buy-side vs. sell-side analysts earnings...Ch. 12.7 - Prob. 12.75ACBCh. 12.7 - Charisma of top-level leaders. Refer to the...Ch. 12.7 - Corporate sustainability and firm characteristics....Ch. 12.7 - Homework assistance for accounting students. Refer...Ch. 12.7 - Improving driving performance while fatigued....Ch. 12.7 - Prob. 12.80ACACh. 12.7 - Banning controversial sports team sponsors. Refer...Ch. 12.8 - Consider a multiple regression model for a...Ch. 12.8 - Prob. 12.83LMCh. 12.8 - Consider the model: y = 0+ 1x1+ 2 x2+ 3 x3+...Ch. 12.8 - Consider the model:...Ch. 12.8 - Prob. 12.86LMCh. 12.8 - Reality TV and cosmetic surgery. Refer to the Body...Ch. 12.8 - Do blondes raise more funds? Refer to the Economic...Ch. 12.8 - Prob. 12.89ACBCh. 12.8 - Buy-side vs. sell-side analysts earnings...Ch. 12.8 - Workplace bullying and intention to leave....Ch. 12.8 - Agreeableness, gender, and wages. Do agreeable...Ch. 12.8 - Chemical plant contamination. Refer to Exercise...Ch. 12.8 - Prob. 12.94ACICh. 12.8 - Recently sold, single-family homes. The National...Ch. 12.8 - Charisma of top-level leaders Refer to the Academy...Ch. 12.9 - Determine which pairs of the following models are...Ch. 12.9 - Prob. 12.98LMCh. 12.9 - Prob. 12.99LMCh. 12.9 - Shared leadership in airplane crews. Refer to the...Ch. 12.9 - Buy-side vs. sell-side analysts earnings...Ch. 12.9 - Workplace bullying and intention to leave. Refer...Ch. 12.9 - Cooling method for gas turbines. Refer to the...Ch. 12.9 - Prob. 12.104ACBCh. 12.9 - Reality TV and cosmetic surgery. Refer to the Body...Ch. 12.9 - Study of supervisor-targeted aggression....Ch. 12.9 - Prob. 12.107ACICh. 12.9 - Recently sold, single-family homes. Refer to the...Ch. 12.9 - Prob. 12.109ACICh. 12.9 - Prob. 12.110ACACh. 12.10 - Prob. 12.111LMCh. 12.10 - Teacher pay and pupil performance. In Economic...Ch. 12.10 - Risk management performance. An article in the...Ch. 12.10 - Accuracy of software effort estimates....Ch. 12.10 - Diet of ducks bred for broiling. Corn is high in...Ch. 12.10 - Reality TV and cosmetic surgery. Refer to the Body...Ch. 12.10 - Prob. 12.117ACICh. 12.10 - Prob. 12.118ACICh. 12.10 - Prob. 12.119ACICh. 12.12 - Identify the problem(s) in each of the residual...Ch. 12.12 - Consider fitting the multiple regression model...Ch. 12.12 - Emotional intelligence and team performance. Refer...Ch. 12.12 - State casket sales restrictions. Some states...Ch. 12.12 - Personality traits and job performance. Refer to...Ch. 12.12 - Women in top management. Refer to the Journal of...Ch. 12.12 - Accuracy of software effort estimates. Refer to...Ch. 12.12 - Arsenic in groundwater. Refer to the Environmental...Ch. 12.12 - Reality TV and cosmetic surgery. Refer to the Body...Ch. 12.12 - Failure times of silicon wafer microchips. Refer...Ch. 12.12 - Bubble behavior in subcooled flow boiling. Refer...Ch. 12.12 - Banning controversial sports team sponsors. Refer...Ch. 12.12 - Cooling method for gas turbines. Refer to the...Ch. 12.12 - Agreeableness, gender, and wages. Refer to the...Ch. 12 - Suppose you have developed a regression model to...Ch. 12 - When a multiple regression model is used for...Ch. 12 - Suppose you fit the model y=0+1x1+2x12+3x2+4x1x2+...Ch. 12 - Prob. 12.137LMCh. 12 - Prob. 12.138LMCh. 12 - Prob. 12.139LMCh. 12 - Prob. 12.140LMCh. 12 - Prob. 12.141LMCh. 12 - Prob. 12.142LMCh. 12 - Prob. 12.143LMCh. 12 - Prob. 12.144LMCh. 12 - Comparing private and public college tuition....Ch. 12 - Prob. 12.146ACBCh. 12 - Prob. 12.147ACBCh. 12 - Highway crash data analysis. Researchers at...Ch. 12 - Prob. 12.149ACBCh. 12 - Mental health of a community. An article in the...Ch. 12 - Prob. 12.151ACBCh. 12 - Testing tires for wear. Underinflated or...Ch. 12 - Prob. 12.153ACBCh. 12 - Prob. 12.154ACBCh. 12 - Prob. 12.155ACBCh. 12 - Prob. 12.156ACBCh. 12 - Prob. 12.157ACBCh. 12 - Promotion of supermarket vegetables. A supermarket...Ch. 12 - Yield strength of steel alloy. Industrial...Ch. 12 - Prob. 12.160ACICh. 12 - Prob. 12.161ACICh. 12 - Improving Math SAT scores. Refer to the Chance...Ch. 12 - Prob. 12.163ACICh. 12 - Prob. 12.164ACICh. 12 - Prob. 12.165ACICh. 12 - Prob. 12.166ACICh. 12 - Sale prices of apartments. A Minneapolis,...Ch. 12 - Volatility of foreign stocks. The relationship...Ch. 12 - Prob. 12.169ACICh. 12 - Prob. 12.170ACICh. 12 - State casket sales restrictions Refer to the...Ch. 12 - Modeling monthly collision claims. A medium-sized...Ch. 12 - Developing a model for college GPA. Many colleges...
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
- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4arrow_forwardThe following output from R presents the results from computing a linear model. In our data example we are interested to study the relationship between students' academic performance api00 with variable enroll which is the number of students in the school. Call: 1m (formula = api00 ~ enroll, data = d) Residuals: Min 10 Median 30 Маx -285.50 -112.55 -6.70 95.06 389.15 Coefficients: Estimate Std. Error t value Pr(>|t|) < 2e-16 *** (Intercept) 744.25141 15.93308 46.711 enroll -0.19987 0.02985 -6.695 7.34e-11 *** --- Signif. codes: O '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 1 Residual standard error: 135 on 398 degrees of freedom Multiple R-squared: F-statistic: 44.83 on 1 and 398 DF, 0.1012, Adjusted R-squared: 0.09898 p-value: 7.339e-11arrow_forwardA researcher recorded the number of e-mails received in a month and the number of online purchases made during that month for 50 people with an online presence. The resulting data were used to conduct a hypothesis test to investigate whether the slope of the population regression line relating number of e-mails received to number of online purchases is positive. What are the correct hypotheses for the test? H0:β1=0Ha:β1≠0H0:β1=0Ha:β1≠0 A H0:β1=0Ha:β1>0H0:β1=0Ha:β1>0 B H0:β1=0Ha:β1<0H0:β1=0Ha:β1<0 C H0:β1>0Ha:β1=0H0:β1>0Ha:β1=0 D H0:b1=0Ha:b1≠0 Earrow_forward
- 29) Two variables are measured on a random sample of n = 23. The sample data results ina sample correlation of 0.393. If you fit a simple regression model to the data, whatvalue would the coefficient of determination (or R-squared) take on?A) 0.627B) 0.393C) 0.154D) 0.000E) 0.296arrow_forward9. Regression of y= Bo + B1X11 + B2X12 + B3 X13 + BaX14 + û¡ yields the following results in tabular form. The tabulated t- statistics is 2.4 , 1.96 and 1.64 for one five and ten percent significance levels respectively. State the null and alternative hypotheses for each & Identify those variables affecting the dependent variable. Independent variables Coefficients Std. Err. Xi1 1731.784 255.4491 Xi2 667.8642 250.4062 Xi3 -38.44927 200.0217 Xi4 -48.14751 423.5669 Bo 3559.713 243.1407arrow_forwardAn agronomist is an expert in soil management and crop production. A certain state hires an agronomist to investigate whether there is a linear relationship between a wheat stalk's height and the yield of wheat. The agronomist collected data and used the data to test the claim that there is a linear relationship at a significance level of a = 0.05. The agronomist tested the following hypotheses. Ho : B1 = 0 Ha : B1 + 0 The test yielded a p-value of 0.25. Which of the following is a correct conclusion about the claim? A The null hypothesis is rejected because 0.25 > 0.05. There is sufficient evidence to suggest that there is a linear relationship between a wheat stalk's height and its yield. The null hypothesis is not rejected because 0.25 > 0.05. There is sufficient evidence to suggest that there is a linear relationship between a wheat stalk's height and its yield. C The null hypothesis is rejected because 0.25 > 0.05. There is not sufficient evidence to suggest that there is a linear…arrow_forward
- Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 136 to 190 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yiel x= 167.51 cm, y = 81.36 kg,r= 0.232, P-value = 0.020, and y = - 103+ 1.13x. Find the best predicted value of y (weight) given an adult male who is 153 cm tall. Use a 0.01 significance level. The best predicted value of y for an adult male who is 153 cm tall is kg. (Round to two decimal places as needed.)arrow_forwardAn analyst believes that the only important determinant of banks’ returns on assets (Y) is the ratio of loans to deposits (X). For a random sample of 20 banks, the sample regression line y = 0.97 + 0.47x was obtained with coefficient of determination 0.720. a. Find the sample correlation between returns on assets and the ratio of loans to deposits. b. Test against a two-sided alternative at the 5% significance level the null hypothesis of no linear association between the returns and the ratio.arrow_forward2arrow_forward
- Use the given data to find the best predicted value of the response variable. 29) Four pairs of data yield r = is the best predicted value of y for x = 4.3? 0.942 and the regression equation y = 3x. Also, y = 12.75. What 29)arrow_forwardSuppose a doctor measures the height, x, and head circumference, y, of 11 children and obtains the data below. The correlation coefficient is 0.904 and the least squares regression line is y=0.208x+11.736. Complete parts (a) and (b) below.arrow_forwardHeights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 130 to 187 cm and weights of 41 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.72 cm, y = 81.42 kg, r = 0.217, P-value = 0.030, and y = -103 + 1.19x. Find the best predicted value of ŷ (weight) given an adult male who is 145 cm tall. Use a 0.01 significance level. The best predicted value of y for an adult male who is 145 cm tall is (Round to two decimal places as needed.) kg.arrow_forward
arrow_back_ios
arrow_forward_ios
Recommended textbooks for you
- Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGALLinear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage LearningGlencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
- Elementary Linear Algebra (MindTap Course List)AlgebraISBN:9781305658004Author:Ron LarsonPublisher:Cengage LearningBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin HarcourtFunctions and Change: A Modeling Approach to Coll...AlgebraISBN:9781337111348Author:Bruce Crauder, Benny Evans, Alan NoellPublisher:Cengage Learning
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Linear Algebra: A Modern Introduction
Algebra
ISBN:9781285463247
Author:David Poole
Publisher:Cengage Learning
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Elementary Linear Algebra (MindTap Course List)
Algebra
ISBN:9781305658004
Author:Ron Larson
Publisher:Cengage Learning
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
What Are Research Ethics?; Author: HighSchoolScience101;https://www.youtube.com/watch?v=nX4c3V23DZI;License: Standard YouTube License, CC-BY
What is Ethics in Research - ethics in research (research ethics); Author: Chee-Onn Leong;https://www.youtube.com/watch?v=W8Vk0sXtMGU;License: Standard YouTube License, CC-BY