Data on income (in thousands of dollars), education (years), experience (years), and age (years) for twenty people are shown here;

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
icon
Concept explainers
Topic Video
Question

Data on income (in thousands of dollars), education (years), experience (years), and age (years) for twenty people are shown here;

Job
Person
Income
Age
Education
Experience
1
5.0
29
9.7
36
18
3
28.4
41
8.
21
4
8.8
30
12
5
21.0
34
8.
14
6.
26.6
36
10
16
7
25.4
61
12
16
23.1
29
12
9.
22.5
54
12
18
10
19.5
30
12
5
11
21.7
28
12
12
24.8
29
13
9
13
30.1
35
14
12
14
24.8
59
14
17
15
28.5
65
15
19
16
26.0
30
15
6
17
38.9
22.1
40
23
17
16
18
. 16
19
33.1
58
17
io
20
48.3
60
21
17
a. Use multiple regression analysis to estimate income as a linear function of age.
Write the equation, t-statistics, and the coefficient of determination. Provide
an explanation for the sign of the age coefficient.
b. Use regression analysis to estimate income as a linear function of education,
job experiènce, and age. Write the equation, 1-statistics, and the coefficient of
determination. How do the results of part (b) explain the results from part (a)?
c. Use the results from part (b) to estimate income-of a typical person who has
14 years of education, has 10 years of job experience, and is 45 years of age.
24
Transcribed Image Text:Job Person Income Age Education Experience 1 5.0 29 9.7 36 18 3 28.4 41 8. 21 4 8.8 30 12 5 21.0 34 8. 14 6. 26.6 36 10 16 7 25.4 61 12 16 23.1 29 12 9. 22.5 54 12 18 10 19.5 30 12 5 11 21.7 28 12 12 24.8 29 13 9 13 30.1 35 14 12 14 24.8 59 14 17 15 28.5 65 15 19 16 26.0 30 15 6 17 38.9 22.1 40 23 17 16 18 . 16 19 33.1 58 17 io 20 48.3 60 21 17 a. Use multiple regression analysis to estimate income as a linear function of age. Write the equation, t-statistics, and the coefficient of determination. Provide an explanation for the sign of the age coefficient. b. Use regression analysis to estimate income as a linear function of education, job experiènce, and age. Write the equation, 1-statistics, and the coefficient of determination. How do the results of part (b) explain the results from part (a)? c. Use the results from part (b) to estimate income-of a typical person who has 14 years of education, has 10 years of job experience, and is 45 years of age. 24
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 2 images

Blurred answer
Knowledge Booster
Centre, Spread, and Shape of a Distribution
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
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman