What is the numeric value of the slope coefficient associated with Age in this model? (Round your answer to 3 decimals).
What is the numeric value of the slope coefficient associated with Age in this model? (Round your answer to 3 decimals).
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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| ID | Gender | Age | Class | Major | Grad Intention | GPA | Employment | Salary | Social Networking | Satisfaction | Spending | Computer | Text Messages | Wealth |
| 1 | Female | 20 | Junior | Other | Yes | 2.9 | Full-Time | 50.0 | 1 | 3 | 350 | Laptop | 200 | 2.00 |
| 2 | Male | 23 | Senior | Management | Yes | 3.9 | Part-Time | 25.0 | 1 | 4 | 360 | Laptop | 50 | 10.00 |
| 3 | Male | 21 | Junior | Other | Yes | 2.5 | Part-Time | 45.0 | 2 | 4 | 600 | Laptop | 200 | 70.00 |
| 4 | Male | 21 | Junior | CIS | Yes | 2.5 | Full-Time | 40.0 | 4 | 6 | 600 | Laptop | 250 | 100.00 |
| 5 | Male | 23 | Senior | Other | Undecided | 2.8 | Unemployed | 40.0 | 2 | 4 | 500 | Laptop | 100 | 1.00 |
| 6 | Female | 22 | Senior | Economics/Finance | Undecided | 2.3 | Unemployed | 90.0 | 3 | 2 | 700 | Laptop | 30 | 5.00 |
| 7 | Female | 21 | Junior | Other | Undecided | 3.0 | Part-Time | 50.0 | 1 | 3 | 500 | Laptop | 50 | 0.60 |
| 8 | Female | 22 | Senior | Other | Undecided | 3.1 | Full-Time | 80.0 | 1 | 2 | 200 | Tablet | 300 | 1.00 |
| 9 | Female | 20 | Junior | Management | Yes | 3.9 | Unemployed | 30.0 | 0 | 4 | 500 | Laptop | 400 | 0.60 |
| 10 | Female | 21 | Senior | Economics/Finance | Undecided | 3.3 | Part-Time | 37.5 | 1 | 4 | 200 | Laptop | 100 | 1.00 |
| 11 | Female | 23 | Senior | Economics/Finance | Yes | 2.8 | Full-Time | 50.0 | 2 | 5 | 400 | Laptop | 200 | 30.00 |
| 12 | Male | 21 | Senior | Undecided | No | 3.5 | Full-Time | 37.0 | 2 | 3 | 500 | Laptop | 100 | 4.00 |
| 13 | Male | 22 | Senior | International Business | Undecided | 3.4 | Part-Time | 40.0 | 2 | 3 | 400 | Desktop | 45 | 0.70 |
| 14 | Male | 22 | Senior | International Business | Undecided | 3.1 | Part-Time | 40.0 | 1 | 3 | 400 | Laptop | 150 | 2.00 |
| 15 | Male | 21 | Senior | Management | Yes | 3.2 | Part-Time | 54.0 | 3 | 4 | 600 | Laptop | 400 | 6.00 |
| 16 | Male | 24 | Senior | Management | Undecided | 3.4 | Part-Time | 45.0 | 4 | 4 | 500 | Laptop | 175 | 1.50 |
| 17 | Female | 19 | Junior | CIS | Undecided | 3.7 | Part-Time | 55.0 | 1 | 4 | 450 | Laptop | 150 | 0.50 |
| 18 | Male | 21 | Junior | Economics/Finance | Undecided | 3.1 | Part-Time | 55.0 | 2 | 3 | 600 | Laptop | 300 | 10.00 |
| 19 | Male | 19 | Junior | Economics/Finance | Yes | 3.5 | Part-Time | 52.0 | 2 | 5 | 500 | Laptop | 300 | 2.00 |
| 20 | Female | 20 | Junior | Management | Undecided | 3.2 | Unemployed | 60.0 | 2 | 6 | 300 | Laptop | 350 | 0.40 |
| 21 | Female | 22 | Junior | Retailing/Marketing | Undecided | 3.2 | Part-Time | 55.0 | 1 | 3 | 690 | Laptop | 50 | 0.35 |
| 22 | Male | 18 | Sophomore | Accounting | Undecided | 3.0 | Unemployed | 60.0 | 1 | 4 | 600 | Laptop | 500 | 10.00 |
| 23 | Female | 22 | Senior | Retailing/Marketing | Undecided | 3.0 | Part-Time | 55.0 | 0 | 4 | 300 | Laptop | 35 | 0.15 |
| 24 | Male | 22 | Senior | Undecided | Yes | 2.6 | Full-Time | 45.0 | 1 | 5 | 400 | Laptop | 600 | 1.50 |
| 25 | Female | 20 | Junior | Economics/Finance | Yes | 3.0 | Part-Time | 55.0 | 1 | 3 | 600 | Laptop | 300 | 0.10 |
| 26 | Male | 24 | Senior | Management | Yes | 3.3 | Full-Time | 60.0 | 0 | 1 | 300 | Laptop | 40 | 10.00 |
| 27 | Male | 20 | Junior | Economics/Finance | Yes | 3.1 | Full-Time | 65.0 | 1 | 5 | 375 | Laptop | 300 | 2.00 |
| 28 | Female | 20 | Junior | International Business | Yes | 2.9 | Part-Time | 50.0 | 3 | 1 | 900 | Laptop | 100 | 1.00 |
| 29 | Male | 22 | Senior | Retailing/Marketing | Yes | 3.3 | Part-Time | 55.0 | 1 | 6 | 1100 | Laptop | 60 | 100.00 |
| 30 | Male | 20 | Sophomore | Retailing/Marketing | Undecided | 3.1 | Part-Time | 45.0 | 1 | 4 | 400 | Laptop | 140 | 7.00 |
| 31 | Male | 20 | Junior | Accounting | Undecided | 3.4 | Part-Time | 55.0 | 2 | 3 | 500 | Laptop | 750 | 5.00 |
| 32 | Male | 20 | Junior | Other | Yes | 2.9 | Part-Time | 47.0 | 3 | 1 | 300 | Laptop | 300 | 1.25 |
| 33 | Male | 20 | Junior | Accounting | Yes | 3.6 | Part-Time | 35.0 | 1 | 4 | 200 | Laptop | 70 | 0.75 |
| 34 | Male | 22 | Senior | Retailing/Marketing | Yes | 2.6 | Full-Time | 40.0 | 1 | 4 | 1400 | Laptop | 800 | 0.85 |
| 35 | Female | 19 | Junior | Retailing/Marketing | Undecided | 3.4 | Part-Time | 40.0 | 1 | 5 | 500 | Laptop | 300 | 0.13 |
| 36 | Female | 26 | Junior | Accounting | Yes | 3.3 | Part-Time | 60.0 | 1 | 4 | 450 | Desktop | 300 | 0.75 |
| 37 | Male | 21 | Senior | Management | Yes | 3.1 | Part-Time | 40.0 | 1 | 4 | 500 | Laptop | 100 | 5.00 |
| 38 | Female | 21 | Sophomore | Accounting | Yes | 2.5 | Part-Time | 60.0 | 2 | 3 | 500 | Laptop | 600 | 0.90 |
| 39 | Male | 24 | Junior | Economics/Finance | Yes | 2.8 | Part-Time | 50.0 | 1 | 6 | 600 | Laptop | 50 | 1.00 |
| 40 | Male | 19 | Sophomore | Retailing/Marketing | Yes | 2.5 | Unemployed | 70.0 | 2 | 5 | 300 | Laptop | 100 | 1.00 |
| 41 | Male | 22 | Junior | Accounting | Yes | 3.2 | Full-Time | 60.0 | 1 | 4 | 680 | Desktop | 200 | 0.50 |
| 42 | Female | 20 | Junior | Retailing/Marketing | No | 3.3 | Part-Time | 30.0 | 1 | 4 | 600 | Laptop | 350 | 1.00 |
| 43 | Female | 22 | Senior | Retailing/Marketing | Undecided | 3.5 | Unemployed | 40.0 | 2 | 5 | 300 | Laptop | 50 | 6.00 |
| 44 | Female | 21 | Senior | Retailing/Marketing | No | 3.9 | Part-Time | 30.0 | 1 | 5 | 100 | Laptop | 900 | 1.00 |
| 45 | Female | 21 | Senior | International Business | No | 3.0 | Part-Time | 30.0 | 2 | 5 | 650 | Desktop | 500 | 0.50 |
| 46 | Female | 21 | Senior | Management | Undecided | 3.8 | Part-Time | 60.0 | 1 | 4 | 650 | Laptop | 150 | 1.00 |
| 47 | Female | 20 | Junior | Retailing/Marketing | Yes | 3.5 | Unemployed | 60.0 | 1 | 3 | 350 | Laptop | 200 | 0.25 |
| 48 | Male | 19 | Sophomore | Undecided | Undecided | 2.5 | Part-Time | 80.0 | 2 | 4 | 500 | Laptop | 150 | 3.00 |
| 49 | Female | 21 | Senior | Economics/Finance | Yes | 3.2 | Part-Time | 47.5 | 2 | 4 | 220 | Laptop | 105 | 1.00 |
| 50 | Female | 21 | Senior | Economics/Finance | Undecided | 3.0 | Part-Time | 45.0 | 1 | 3 | 520 | Laptop | 105 | 0.70 |
| 51 | Female | 21 | Junior | Management | No | 3.5 | Unemployed | 35.0 | 2 | 4 | 600 | Tablet | 100 | 1.00 |
| 52 | Male | 21 | Senior | Management | No | 3.0 | Part-Time | 50.0 | 1 | 4 | 500 | Laptop | 200 | 5.00 |
| 53 | Female | 21 | Senior | Retailing/Marketing | Undecided | 3.7 | Part-Time | 40.0 | 3 | 4 | 300 | Laptop | 700 | 10.00 |
| 54 | Male | 21 | Junior | Retailing/Marketing | No | 3.4 | Part-Time | 40.0 | 1 | 5 | 500 | Laptop | 300 | 0.50 |
| 55 | Male | 21 | Senior | Other | Yes | 3.4 | Part-Time | 50.0 | 1 | 4 | 250 | Desktop | 700 | 2.50 |
| 56 | Female | 21 | Senior | Retailing/Marketing | No | 3.1 | Part-Time | 50.0 | 1 | 1 | 300 | Laptop | 300 | 3.50 |
| 57 | Female | 21 | Senior | International Business | Yes | 3.4 | Part-Time | 42.0 | 1 | 1 | 200 | Laptop | 100 | 3.80 |
| 58 | Female | 21 | Senior | International Business | No | 2.4 | Part-Time | 40.0 | 1 | 3 | 1000 | Laptop | 10 | 1.00 |
| 59 | Female | 20 | Junior | CIS | No | 2.9 | Part-Time | 40.0 | 2 | 4 | 350 | Laptop | 250 | 0.10 |
| 60 | Female | 20 | Sophomore | CIS | No | 2.5 | Part-Time | 55.0 | 1 | 4 | 500 | Laptop | 500 | 1.00 |
| 61 | Female | 23 | Senior | Accounting | Yes | 3.5 | Part-Time | 30.0 | 2 | 3 | 490 | Laptop | 50 | 1.00 |
| 62 | Female | 23 | Senior | Economics/Finance | No | 3.2 | Part-Time | 70.0 | 2 | 3 | 250 | Laptop | 0 | 2.00 |
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1. Using Excel, create a
multiple linear regression to predict the salary expectation (column I) of
undergraduate students using their Age (column C), GPA (column G), and
gender (column B) as the independent variables. Code the gender variable
as 1 = female and 0 = male.
What is the numeric value of the slope coefficient associated with Age in
this model? (Round your answer to 3 decimals).
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