Statistics for Management and Economics (Book Only)
11th Edition
ISBN: 9781337296946
Author: Gerald Keller
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Question
Chapter 17.4, Problem 54E
a:
To determine
The regression equation.
b:
To determine
The variance of the error.
c:
To determine
The coefficient of the correlation.
d:
To determine
The new regression equation.
e:
To determine
The new variance of the error.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Describe the “overall” regression F-statistic & F-statistic when q=1?
A large school district is reevaluating its teachers' salaries. They have decided to use regression analysis to predict mean teacher salaries at each elementary school. The research has come up with the following prediction equation:
Y = $18012.24 + 1432.37X1 - 4.07 X2 where X1 = Yrs Exp and X2 = Yrs Exp2
(a) If a teacher has 7 years of experience, what is the expected salary? (b) If teacher has 10 years of experience, what is the expected salary?
When positive autocorrelation is present, standard errors of OLS estimators become _____.
Select one:
a. smaller
b. indeterminate
c. larger
d. zero
Chapter 17 Solutions
Statistics for Management and Economics (Book Only)
Ch. 17.2 - Prob. 1ECh. 17.2 - Prob. 2ECh. 17.2 - Prob. 3ECh. 17.2 - Prob. 4ECh. 17.2 - Prob. 5ECh. 17.2 - Prob. 6ECh. 17.2 - Prob. 7ECh. 17.2 - Prob. 8ECh. 17.2 - Prob. 9ECh. 17.2 - Prob. 10E
Ch. 17.2 - Prob. 11ECh. 17.2 - Prob. 12ECh. 17.2 - Prob. 13ECh. 17.2 - Prob. 14ECh. 17.2 - Prob. 15ECh. 17.2 - Prob. 16ECh. 17.2 - Prob. 17ECh. 17.2 - Prob. 18ECh. 17.2 - Prob. 19ECh. 17.2 - Prob. 20ECh. 17.2 - Prob. 21ECh. 17.2 - Prob. 22ECh. 17.2 - Prob. 23ECh. 17.2 - Prob. 24ECh. 17.3 - Prob. 25ECh. 17.3 - Prob. 26ECh. 17.3 - Prob. 27ECh. 17.3 - Prob. 28ECh. 17.3 - Prob. 29ECh. 17.3 - Prob. 30ECh. 17.3 - Prob. 31ECh. 17.3 - Prob. 32ECh. 17.3 - Prob. 33ECh. 17.3 - Prob. 34ECh. 17.3 - Prob. 35ECh. 17.3 - Prob. 36ECh. 17.3 - Prob. 37ECh. 17.3 - Prob. 38ECh. 17.3 - Prob. 39ECh. 17.3 - Prob. 40ECh. 17.3 - Prob. 41ECh. 17.3 - Prob. 42ECh. 17.3 - Prob. 43ECh. 17.3 - Prob. 44ECh. 17.3 - Prob. 45ECh. 17.3 - Prob. 46ECh. 17.4 - Prob. 47ECh. 17.4 - Prob. 48ECh. 17.4 - Prob. 49ECh. 17.4 - Prob. 50ECh. 17.4 - Prob. 51ECh. 17.4 - Prob. 52ECh. 17.4 - Prob. 53ECh. 17.4 - Prob. 54ECh. 17.4 - Prob. 55ECh. 17.4 - Prob. 56ECh. 17.4 - Prob. 57ECh. 17.A - Prob. 1ECh. 17.A - Prob. 2ECh. 17.A - Prob. 3ECh. 17.A - Prob. 4ECh. 17.A - Prob. 5ECh. 17.A - Prob. 6ECh. 17.A - Prob. 7ECh. 17.A - Prob. 8ECh. 17.A - Prob. 9ECh. 17.A - Prob. 10ECh. 17.A - Prob. 11ECh. 17.A - Prob. 12ECh. 17.A - Prob. 13ECh. 17.A - Prob. 14ECh. 17.A - Prob. 15ECh. 17.A - Prob. 16ECh. 17.A - Prob. 17ECh. 17.A - Prob. 18ECh. 17.A - Prob. 19ECh. 17.A - Prob. 20ECh. 17.A - Prob. 21ECh. 17.A - Prob. 22ECh. 17.A - Prob. 23ECh. 17.A - Prob. 24ECh. 17.A - Prob. 25ECh. 17.A - Prob. 26ECh. 17.A - Prob. 27ECh. 17.A - Prob. 28ECh. 17.A - Prob. 29ECh. 17.A - Prob. 30ECh. 17.A - Prob. 31ECh. 17.A - Prob. 32ECh. 17.A - Prob. 33ECh. 17.A - Prob. 34ECh. 17.A - Prob. 35ECh. 17.A - Prob. 36ECh. 17.A - Prob. 37ECh. 17.A - Prob. 38ECh. 17.A - Prob. 39ECh. 17.A - Prob. 40ECh. 17.A - Prob. 41ECh. 17.A - Prob. 42ECh. 17.A - Prob. 43ECh. 17 - Prob. 58CECh. 17 - Prob. 59CECh. 17 - Prob. 60CE
Knowledge Booster
Similar questions
- When running a ols regression, if my control variables are insignificant via T-test should I keep them in the regression? Are they significant?arrow_forwardthe regression R2 is 0.98.This meanarrow_forwardSuppose you run a regression y=alpha + beta*x + u. You know that the estimated coefficient is 2.94 and the standard error is 1.09. What is the value of t-statistic for your estimated coefficient beta?arrow_forward
- Interpret the coefficients in the regression modelarrow_forward1. R-squaredSuppose regression of y on an intercept and x with 50 observations yields total sum of squares 100 andexplained sum of squares 36.(a) What is ?^2?(b) What is the correlation coefficient between y and x?(c) What is the standard error of the residual?arrow_forwardA regression of average weekly earnings (AWE, measured in dollars) on age(measured in years) using a random sample of college-educated full-timeworkers aged 25–65 yields the following: AWE = 696.7 + 9.6 X Age, R2 = 0.023, SER = 624.1.a. Explain what the coefficient values 696.7 and 9.6 mean.b. The standard error of the regression (SER) is 624.1. What are the unitsof measurement for the SER? (Dollars? Years? Or is SER unit-free?)c. The regression R2 is 0.023. What are the units of measurement for theR2? (Dollars? Years? Or is R2 unit-free?)d. What does the regression predict will be the earnings for a 25-year-oldworker? For a 45-year-old worker?e. Will the regression give reliable predictions for a 99-year-old worker?Why or why not?f. Given what you know about the distribution of earnings, do youthink it is plausible that the distribution of errors in the regressionis normal? (Hint: Do you think that the distribution is symmetric orskewed? What is the smallest value of earnings,…arrow_forward
- a simple linear regression equation shows the relationship between-arrow_forwardWhat do you mean by the Sampling Distribution of the OLS Estimators in Multiple Regression?arrow_forwardWhen running a ols regression, if one of my 3 control variables are insignificant via T-test should I keep them in the regression/how should I interpret them?arrow_forward
- Suppose you have the following data: X Y 3 9 7 45 5 25 2 8 Using OLS methods: estimate the following regression model: Sq root of Yi = Beta0 + Beta1(Xi) + errorarrow_forwardExplain Conditional Mean Independence by considering a regression with two regressors?arrow_forwardHow would you describe a correlation of -1? Group of answer choices There is a perfect linear relationship between x and y. There is a strong positive relationship between x and y. There is no relationship between x and y. There is a weak negative relationship between x and y. thanksarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Principles of Economics (12th Edition)EconomicsISBN:9780134078779Author:Karl E. Case, Ray C. Fair, Sharon E. OsterPublisher:PEARSONEngineering Economy (17th Edition)EconomicsISBN:9780134870069Author:William G. Sullivan, Elin M. Wicks, C. Patrick KoellingPublisher:PEARSON
- Principles of Economics (MindTap Course List)EconomicsISBN:9781305585126Author:N. Gregory MankiwPublisher:Cengage LearningManagerial Economics: A Problem Solving ApproachEconomicsISBN:9781337106665Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike ShorPublisher:Cengage LearningManagerial Economics & Business Strategy (Mcgraw-...EconomicsISBN:9781259290619Author:Michael Baye, Jeff PrincePublisher:McGraw-Hill Education
Principles of Economics (12th Edition)
Economics
ISBN:9780134078779
Author:Karl E. Case, Ray C. Fair, Sharon E. Oster
Publisher:PEARSON
Engineering Economy (17th Edition)
Economics
ISBN:9780134870069
Author:William G. Sullivan, Elin M. Wicks, C. Patrick Koelling
Publisher:PEARSON
Principles of Economics (MindTap Course List)
Economics
ISBN:9781305585126
Author:N. Gregory Mankiw
Publisher:Cengage Learning
Managerial Economics: A Problem Solving Approach
Economics
ISBN:9781337106665
Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:Cengage Learning
Managerial Economics & Business Strategy (Mcgraw-...
Economics
ISBN:9781259290619
Author:Michael Baye, Jeff Prince
Publisher:McGraw-Hill Education