Salary Years Age MBA? 35600 7.3 33 0 71100 24.1 61 0 42300 8.6 51200 11.5 43 1 41300 13.8 40 0 64900 18.1 55 0 54600 16.9 49 0 43800 9.4 35 1 37 1 46600 12.2 48 1 50100 16 32800 4.2 50 0 28 1 49300 11.5 49 0 38100 7.3 53500 14.4 52 1 46000 10.8 45 0 35 1 The data in the above table give the annual salary (Salary), number of years of employment (Years), employee's age (Age),, and whether or not the employee has an MBA degree (1 = yes, 0 = no) for 15 workers in a particular industry and location. At the 0.10 level of significance, are any of the predictor variables making a statistically significant contribution to predicting Salary?

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
20 see picture
Salary Years Age MBA?
356007.3 33 0
71100 24.1 61 O
42300 8.6
51200 11.5 43 1
41300 13.8 40 0
64900 18.1 55 0
54600 16.9 49 0
43800 9.4
35 1
37 1
46600 12.2 48 1
50100 16
32800 4.2
49300 11.5 49 0
50 0
28 1
38100 7.3
53500 14.4 52 1
46000 10.8 45 0
35 1
The data in the above table give the annual salary (Salary), number of years of
employment (Years), employee's age (Age), and whether or not the employee has an
MBA degree (1 = yes, 0 = no) for 15 workers in a particular industry and location.
At the 0.10 level of significance, are any of the predictor variables making a
statistically significant contribution to predicting Salary?
Transcribed Image Text:Salary Years Age MBA? 356007.3 33 0 71100 24.1 61 O 42300 8.6 51200 11.5 43 1 41300 13.8 40 0 64900 18.1 55 0 54600 16.9 49 0 43800 9.4 35 1 37 1 46600 12.2 48 1 50100 16 32800 4.2 49300 11.5 49 0 50 0 28 1 38100 7.3 53500 14.4 52 1 46000 10.8 45 0 35 1 The data in the above table give the annual salary (Salary), number of years of employment (Years), employee's age (Age), and whether or not the employee has an MBA degree (1 = yes, 0 = no) for 15 workers in a particular industry and location. At the 0.10 level of significance, are any of the predictor variables making a statistically significant contribution to predicting Salary?
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 2 images

Blurred answer
Knowledge Booster
Angles, Arcs, and Chords and Tangents
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.
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