. regress wages education workexp unionmember south ib(last).occupation female Source Model Residual Total wages education workexp unionmember south occupation Management Sales Clerical Service Professional female cons SS 4477.32498 9599.37357 14076.6985 Coefficient .6722878 .0936955 1.517377 .6885843 df · 10 447.732498 523 18.3544428 Std. err. 533 26.4103162 0990429 . 0165623 .5083565 4150423 MS 2.799024 .756551 -1.17642 .8139971 -.5480944 6319067 -1.349161 .6065975 1.531115 .6888258 -1.845267 .4152299 -.8195072 1.348736 Number of obs F(10, 523) Prob > F R-squared Adj R-squared Root MSE t P>|t| 6.79 0.000 5.66 0.000 2.98 0.003 -1.66 0.098 3.70 0.000 -1.45 0.149 -0.87 0.386 0.027 -2.22 2.22 0.027 -4.44 0.000 -0.61 0.544 = = = .4777169 .0611587 .5187055 -1.503939 = 1.312772 -2.775525 -1.789482 -2.540828 . 1779095 = -2.66099 -3.469113 = [95% conf. interval] 534 24.39 0.0000 0.3181 0.3050 4.2842 8668586 . 1262322 2.516049 .1267705 4.285276 .4226859 .6932927 -.1574936 2.88432 -1.029544 1.830098
. regress wages education workexp unionmember south ib(last).occupation female Source Model Residual Total wages education workexp unionmember south occupation Management Sales Clerical Service Professional female cons SS 4477.32498 9599.37357 14076.6985 Coefficient .6722878 .0936955 1.517377 .6885843 df · 10 447.732498 523 18.3544428 Std. err. 533 26.4103162 0990429 . 0165623 .5083565 4150423 MS 2.799024 .756551 -1.17642 .8139971 -.5480944 6319067 -1.349161 .6065975 1.531115 .6888258 -1.845267 .4152299 -.8195072 1.348736 Number of obs F(10, 523) Prob > F R-squared Adj R-squared Root MSE t P>|t| 6.79 0.000 5.66 0.000 2.98 0.003 -1.66 0.098 3.70 0.000 -1.45 0.149 -0.87 0.386 0.027 -2.22 2.22 0.027 -4.44 0.000 -0.61 0.544 = = = .4777169 .0611587 .5187055 -1.503939 = 1.312772 -2.775525 -1.789482 -2.540828 . 1779095 = -2.66099 -3.469113 = [95% conf. interval] 534 24.39 0.0000 0.3181 0.3050 4.2842 8668586 . 1262322 2.516049 .1267705 4.285276 .4226859 .6932927 -.1574936 2.88432 -1.029544 1.830098
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Interpret the OLS coefficients (intercept and slope coefficients). When doing it, make sure to discuss the sign of the coefficient, its magnitude and ceteris-paribus interpretations, as well as statistical significance of the coefficients.
please answer the question.
![. regress wages education workexp unionmember south ib(last).occupation female
Source
Model
Residual
Total
wages
education
workexp
unionmember
south
occupation
Management
Sales
Clerical
Service
Professional
female
cons
SS
4477.32498
9599.37357
14076.6985
Coefficient
.6722878
.0936955
1.517377
.6885843
df
·
10
447.732498
523 18.3544428
Std. err.
533 26.4103162
0990429
. 0165623
.5083565
4150423
MS
2.799024
.756551
-1.17642
.8139971
-.5480944
6319067
-1.349161 .6065975
1.531115
.6888258
-1.845267 .4152299
-.8195072 1.348736
Number of obs
F(10, 523)
Prob > F
R-squared
Adj R-squared
Root MSE
t P>|t|
6.79 0.000
5.66 0.000
2.98 0.003
-1.66 0.098
3.70 0.000
-1.45 0.149
-0.87 0.386
0.027
-2.22
2.22 0.027
-4.44 0.000
-0.61 0.544
=
=
=
.4777169
.0611587
.5187055
-1.503939
=
1.312772
-2.775525
-1.789482
-2.540828
. 1779095
=
-2.66099
-3.469113
=
[95% conf. interval]
534
24.39
0.0000
0.3181
0.3050
4.2842
8668586
. 1262322
2.516049
.1267705
4.285276
.4226859
.6932927
-.1574936
2.88432
-1.029544
1.830098](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F873122f1-dead-4804-99db-6d51b7591a67%2Fb2ee702c-c479-4859-8aa5-2a0847d14543%2Fgye02s_processed.png&w=3840&q=75)
Transcribed Image Text:. regress wages education workexp unionmember south ib(last).occupation female
Source
Model
Residual
Total
wages
education
workexp
unionmember
south
occupation
Management
Sales
Clerical
Service
Professional
female
cons
SS
4477.32498
9599.37357
14076.6985
Coefficient
.6722878
.0936955
1.517377
.6885843
df
·
10
447.732498
523 18.3544428
Std. err.
533 26.4103162
0990429
. 0165623
.5083565
4150423
MS
2.799024
.756551
-1.17642
.8139971
-.5480944
6319067
-1.349161 .6065975
1.531115
.6888258
-1.845267 .4152299
-.8195072 1.348736
Number of obs
F(10, 523)
Prob > F
R-squared
Adj R-squared
Root MSE
t P>|t|
6.79 0.000
5.66 0.000
2.98 0.003
-1.66 0.098
3.70 0.000
-1.45 0.149
-0.87 0.386
0.027
-2.22
2.22 0.027
-4.44 0.000
-0.61 0.544
=
=
=
.4777169
.0611587
.5187055
-1.503939
=
1.312772
-2.775525
-1.789482
-2.540828
. 1779095
=
-2.66099
-3.469113
=
[95% conf. interval]
534
24.39
0.0000
0.3181
0.3050
4.2842
8668586
. 1262322
2.516049
.1267705
4.285276
.4226859
.6932927
-.1574936
2.88432
-1.029544
1.830098
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