Consider the following computer output of a multiple regression analysis relating annual salary to years of education and years of work experience. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA 0.7352 0.5405 0.5205 2130.9497 49
Consider the following computer output of a multiple regression analysis relating annual salary to years of education and years of work experience. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA 0.7352 0.5405 0.5205 2130.9497 49
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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Consider the following computer output of a multiple regression analysis relating annual salary to years of education and years of work experience.
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1
1
A
1
option
wer
Ⓒ2022 Hawkes Learning
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2
W
S
Coefficients Standard Error t Stat
14281.78907
2352.4989
829.0451
How much would you expect your salary to increase if you had one more year of education?
X
H
command
Intercept
Education (Years)
Experience (Years)
#
3
E
D
df
SS
MS
F
Regression 2 245,665,739.0934 122,832,869.5467 27.0501
Residual 46 208,883,538.9066
Total
4,540,946.4980
48 454,549,278.0000
C
$
4
R
F
I
%
5
V
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
T
Observations
G
ANOVA
A
6
P-value
Lower 95%
2,520.8096 5.6656 0.000000916 9207.6625
337.0748 6.9792 0.00000001
1674.0025
391.3561 2.1184 0.039573837 41.2861
B
MacBook Pro
0.7352
0.5405
0.5205
2130.9497
49
Y
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7
N
U
8
J
Hi
1
Significance F
1.7E-08
M
9
K
<
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H
Upper 95 %
19,355.9156
3030.9953
1616.8041
0
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command
Tables
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Submit Answer
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