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. First, discuss the approximate marginal effects. Next, calculate and discuss the exact marginal effects.
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. First, discuss the approximate marginal effects. Next, calculate and discuss the exact marginal effects.
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. First, discuss the approximate marginal effects. Next, calculate and discuss the exact marginal effects.
![regress logwages education workexp unionmember south ib(last). occupation female
Source
Model
Residual
Total
logwages
education
workexp
unionmember
south
occupation
Management
Sales
Clerical
Service
Professional
female
_cons
SS
51.7302552
96.7165671
148.446822
Coefficient
. 0694744
. 0105903
.205853
-.1060423
.2047711
-.1456931
-.0128342
-.1995274
. 1614812
-.2080284
1.046263
df
.
Std. err.
5.17302552
10
523 .184926514
.0099415
0016624
.0510267
0416602
.
533 .278511862
.0759394
0817056
0634281
0608877
.0691414
MS
. 041679
.1353804
Number of obs
F(10, 523)
Prob > F
R-squared
Adj R-squared
Root MSE
t P>|t|
6.99 0.000
6.37 0.000
4.03 0.000
-2.55 0.011
2.70 0.007
-1.78 0.075
-0.20 0.840
-3.28 0.001
2.34 0.020
-4.99 0.000
7.73 0.000
. 0499442
.0073244
. 1056106
-. 1878842
. 0555873
-.3062046
. 1374395
-.3191419
. 0256522
=
-.2899072
.780307
=
=
=
=
[95% conf. interval]
=
534
27.97
0.0000
0.3485
0.3360
.43003
0890046
. 0138562
.3060955
-.0242005
.3539548
.0148184
.111771
-.0799128
.2973103
-.1261495
1.312219](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F873122f1-dead-4804-99db-6d51b7591a67%2Fdff07ed4-e2b0-4c8a-b806-6180cb7e9ccc%2F7gj05r_processed.png&w=3840&q=75)
Transcribed Image Text:regress logwages education workexp unionmember south ib(last). occupation female
Source
Model
Residual
Total
logwages
education
workexp
unionmember
south
occupation
Management
Sales
Clerical
Service
Professional
female
_cons
SS
51.7302552
96.7165671
148.446822
Coefficient
. 0694744
. 0105903
.205853
-.1060423
.2047711
-.1456931
-.0128342
-.1995274
. 1614812
-.2080284
1.046263
df
.
Std. err.
5.17302552
10
523 .184926514
.0099415
0016624
.0510267
0416602
.
533 .278511862
.0759394
0817056
0634281
0608877
.0691414
MS
. 041679
.1353804
Number of obs
F(10, 523)
Prob > F
R-squared
Adj R-squared
Root MSE
t P>|t|
6.99 0.000
6.37 0.000
4.03 0.000
-2.55 0.011
2.70 0.007
-1.78 0.075
-0.20 0.840
-3.28 0.001
2.34 0.020
-4.99 0.000
7.73 0.000
. 0499442
.0073244
. 1056106
-. 1878842
. 0555873
-.3062046
. 1374395
-.3191419
. 0256522
=
-.2899072
.780307
=
=
=
=
[95% conf. interval]
=
534
27.97
0.0000
0.3485
0.3360
.43003
0890046
. 0138562
.3060955
-.0242005
.3539548
.0148184
.111771
-.0799128
.2973103
-.1261495
1.312219
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