Question: Consider the Binary Dummy Variable Gender which takes the values M and F. In a Linear Regression with the dependent variable Income in dollars, Gender

Consider the Binary Dummy Variable Gender which takes the values "M" and "F". In a Linear Regression with the dependent variable Income in dollars, Gender is interacted with Years of Work Experience. Suppose the excluded category for Gender is "F". If the coefficient on Gender is 13,470, the coefficient on Years of Work Experience is 5,483, and the coefficient on the Interaction Term, Years of Work Experience*Gender is 1,026, what is the relationship between Years of Work Experience and Income for a person whose Gender is category "F"?

Group of answer choices

a)One more Year of Work Experience increases Income by $18,953

b)One more Year of Work Experience increases Income by $13,470

c)One more Year of Work Experience increases Income by $6,509

d)One more Year of Work Experience increases Income by $5,483

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Economics Questions!

Consider the Binary Dummy Variable Gender which takes the values "M" and "F". In a linear regression with the dependent variable the amount invested in stocks, Gender is interacted with Income....

linear regression doubt. Question 1 1 pts Suppose the following are the results of a linear regression with the unemployment rate in decimal form as the dependent variable and population density and...

The SAT has gone through many revisions over the years. In 2005, a new writing section was introduced that includes a direct writing measure in the form of an essay. People argue that female students...

No further values were supplied for variable age. Question 3 (this question has four parts, (a), (b), (c) and (d)) Consider the following house sale price regression model log(pricei)= Bo+ 1 age; +...

Consider the following house sale price regression model: log(price; )= Bot By age; + B2 bedrooms; + B3 baths,+ B4 pool,+ B5 fireplace; + 36 waterfront; + ui where price: sale price of the house in...

Instructions: Consider the below data which is based on a company's sales in Year 1 through Year 12 along with the national income of the country, where the business is set up National Company's...

!Answer all questions. CEMEX a. Did CEMEX use a multidomestic strategy? Justify your answer. b. Did CEMEX use a global strategy? Justify your answer. c. Did CEMEX use a transnational strategy?...

In its most recent balance sheet, Vosburg Inc. reported a debt-to-equity ratio of 1.85 to 1. This ratio has increased slightly from the previous year when the ratio was 1.55 to 1. Assess Vosburg...

Write some simple Scapy/Python code to launch the scan or icmp attack. Revise them for implementing NULL scan, large ICMP payload attack, or detection evasion etc. (1) Sample Code for FIN_Scan (you...

One of the oldest and most basic tools for managing financial risk is the Blank _ _ _ _ _ _ . Multiple choice question. forward contract futures contract mercenary army credit default swap

In Python - Modify the postfix eval algorithm code below so it handles errors. When an error is detected, throw an Exception with a message that describes the error. (You don't have to handle these...

2. If total spending is just sufficient to purchase an economys output, then the economy is: LO31.3 a. In equilibrium. b. In recession. c. In debt. d. In expansion.

9. If an economy has an inflationary expenditure gap, the government could attempt to bring the economy back toward the fullemployment level of GDP by taxes or government expenditures. LO31.8 a....

6. A depression abroad will tend to our exports, which in turn will net exports, which in turn will equilibrium real GDP. LO31.6 a. Reduce; reduce; reduce. b. Increase; increase; increase. c. Reduce;...