3. An econometrician regressed the cake sales on the cake price as well as the expenditure on advertising and its square. She obtained the following fitted regression equation, SALES = 109.719 – 7.640PRICE + 12.151ADVERT – 2.768ADVERT² Economic theory says the firm should increase advertising expenditure to the point where an extra $1 of expenditure results in an extra $1 of sales (i.e., marginal cost = marginal revenue). Choose the wrong statement. A. The term ADVERT² captures some nonlinearity. A. This is an example of the (estimated) multivariate linear regression model. B. The estimated marginal revenue is 12.151 +2(−2.768)ADVERT. C. The estimated optimal level of advertising is approximately 2.014. D. A t test can be used to test the hypothesis that advertising does not affect sales.

ENGR.ECONOMIC ANALYSIS
14th Edition
ISBN:9780190931919
Author:NEWNAN
Publisher:NEWNAN
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
icon
Related questions
Question
3. An econometrician regressed the cake sales on the cake price as well as the expenditure
on advertising and its square. She obtained the following fitted regression equation,
SALES = 109.719 – 7.640PRICE + 12.151ADVERT - 2.768ADVERT²
Economic theory says the firm should increase advertising expenditure to the point
where an extra $1 of expenditure results in an extra $1 of sales (i.e., marginal cost =
marginal revenue). Choose the wrong statement.
A. The term ADVERT2 captures some nonlinearity.
A. This is an example of the (estimated) multivariate linear regression model.
B. The estimated marginal revenue is 12.151 +2(−2.768)ADVERT.
C. The estimated optimal level of advertising is approximately 2.014.
D. A t test can be used to test the hypothesis that advertising does not affect sales.
4. Suppose we are interested in predicting the price of house using the interior area of
house. Consider the regression model,
PRICE = B1 + B2SQFT + yıPOOL + y2(POOL × SQFT) + u
where PRICE is the market price for house in $1000, SQFT is the interior area of
house in square feet, and POOL is 1 if house has a pool and 0, otherwise. Choose
the correct statement about the regression model for houses with a pool.
A. The intercept is ß₁ and the slope is ß₂.
B. The intercept is y₁ and the slope is y2.
C. The intercept is (ß₁ + y₁) and the slope is ³₂.
D. The intercept is (ß₁ + y₁) and the slope is (ß₂ + y2).
E. None of the above is correct
5. Suppose we are interested in predicting the price of house using the interior area of
house. Consider the regression model,
PRICE =B1 + B2SQFT + yıPOOL + 72(POOL × SQFT) + u
where PRICE is the market price for house in $1000, SQFT is the interior area of
house in square feet, and POOL is 1 if house has a pool and 0, otherwise. We want to test
whether the regression model for houses with a pool is equivalent to the
regression model for houses without a pool. Choose the correct statement.
A. An appropriate null hypothesis is Ho : y₁ = 0.
B. An appropriate null hypothesis is Ho: y2 = 0.
C. An appropriate null hypothesis is Ho : Y₁ = y2 = 0.
D. The test is called as RESET.
E. None of the above is correct.
Transcribed Image Text:3. An econometrician regressed the cake sales on the cake price as well as the expenditure on advertising and its square. She obtained the following fitted regression equation, SALES = 109.719 – 7.640PRICE + 12.151ADVERT - 2.768ADVERT² Economic theory says the firm should increase advertising expenditure to the point where an extra $1 of expenditure results in an extra $1 of sales (i.e., marginal cost = marginal revenue). Choose the wrong statement. A. The term ADVERT2 captures some nonlinearity. A. This is an example of the (estimated) multivariate linear regression model. B. The estimated marginal revenue is 12.151 +2(−2.768)ADVERT. C. The estimated optimal level of advertising is approximately 2.014. D. A t test can be used to test the hypothesis that advertising does not affect sales. 4. Suppose we are interested in predicting the price of house using the interior area of house. Consider the regression model, PRICE = B1 + B2SQFT + yıPOOL + y2(POOL × SQFT) + u where PRICE is the market price for house in $1000, SQFT is the interior area of house in square feet, and POOL is 1 if house has a pool and 0, otherwise. Choose the correct statement about the regression model for houses with a pool. A. The intercept is ß₁ and the slope is ß₂. B. The intercept is y₁ and the slope is y2. C. The intercept is (ß₁ + y₁) and the slope is ³₂. D. The intercept is (ß₁ + y₁) and the slope is (ß₂ + y2). E. None of the above is correct 5. Suppose we are interested in predicting the price of house using the interior area of house. Consider the regression model, PRICE =B1 + B2SQFT + yıPOOL + 72(POOL × SQFT) + u where PRICE is the market price for house in $1000, SQFT is the interior area of house in square feet, and POOL is 1 if house has a pool and 0, otherwise. We want to test whether the regression model for houses with a pool is equivalent to the regression model for houses without a pool. Choose the correct statement. A. An appropriate null hypothesis is Ho : y₁ = 0. B. An appropriate null hypothesis is Ho: y2 = 0. C. An appropriate null hypothesis is Ho : Y₁ = y2 = 0. D. The test is called as RESET. E. None of the above is correct.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps

Blurred answer
Knowledge Booster
Regression Model
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, economics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
ENGR.ECONOMIC ANALYSIS
ENGR.ECONOMIC ANALYSIS
Economics
ISBN:
9780190931919
Author:
NEWNAN
Publisher:
Oxford University Press
Principles of Economics (12th Edition)
Principles of Economics (12th Edition)
Economics
ISBN:
9780134078779
Author:
Karl E. Case, Ray C. Fair, Sharon E. Oster
Publisher:
PEARSON
Engineering Economy (17th Edition)
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)
Principles of Economics (MindTap Course List)
Economics
ISBN:
9781305585126
Author:
N. Gregory Mankiw
Publisher:
Cengage Learning
Managerial Economics: A Problem Solving Approach
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-…
Managerial Economics & Business Strategy (Mcgraw-…
Economics
ISBN:
9781259290619
Author:
Michael Baye, Jeff Prince
Publisher:
McGraw-Hill Education