SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R S 0.3979933 0.63629661 0.40487338 Standard Erre 0.17910984 Observations 526 ANOVA df MS F Significance F Regression Residual 6 11.3270312 1.88783854 58.8472192 519 16.6496941 0.03208034 1.832E-55 Total 525 27.9767253 Coefficients Standard Ero. 0.19491815 0.04723164 4.12685549 4.2837E-05 0.10212945 0.28770685 0.10212945 0.28770685 Upper 95% Lower 95.0% Upper 95.0% t Stat P-value Lower 95% Intercept educ 0.03442776 0.00320564 10.739746 1.9661E-24 0.02813013 0.04072539 0.02813013 0.04072539 0.01626282 0.00232517 6.99423735 8.2538E-12 0.01169491 0.02083073 0.01169491 0.02083073 өxper female -0.1419812 0.0159141 -8.9217245 7.8791E-18 -0.1732452 -0.1107173 -0.1732452 -0.1107173 married 0.03226401 0.01846498 1.74730847 0.08117529 -0.0040113 0.0685393 -0.0040113 0.0685393 numdep exper^2 -0.0102891 0.00686473 -1.4988368 0.13452396 -0.0237752 0.00319697 -0.0237752 0.00319697 -0.0002958 5.0991E-05 -5.8018953 1.1414E-08 -0.000396 -0.0001957 -0.000396 -0.0001957

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 6SGR
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Run a regression of the logarithm of average hourly earnings, ln(wage) on educ, exper, exper2, female, married and numdep. Discuss the statistical significance of each of the slope coefficients and interpret the coefficient on female and married.

SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R S 0.3979933
0.63629661
0.40487338
Standard Erre 0.17910984
Observations
526
ANOVA
df
Significance F
MS
F
Regression
6 11.3270312 1.88783854 58.8472192
1.832E-55
Residual
519 16.6496941 0.03208034
Total
525 27.9767253
Coefficients Standard Erro.
t Stat
P-value
Lower 95%
Upper 95% Lower 95.0% Upper 95.0%
Intercept
0.19491815 0.04723164 4.12685549 4.2837E-05 0.10212945 0.28770685 0.10212945 0.28770685
educ
0.03442776 0.00320564
10.739746 1.9661E-24 0.02813013 0.04072539 0.02813013 0.04072539
0.01626282 0.00232517 6.99423735 8.2538E-12 0.01169491 0.02083073 0.01169491 0.02083073
exper
female
-0.1419812
0.0159141 -8.9217245 7.8791E-18 -0.1732452
-0.1107173 -0.1732452 0.1107173
married
0.03226401 0.01846498 1.74730847 0.08117529 -0.0040113
0.0685393
-0.0040113
0.0685393
numdep
-0.0102891 0.00686473 -1.4988368 0.13452396 -0.0237752 0.00319697
-0.0237752 0.00319697
exper^2
-0.0002958 5.0991E-05 -5.8018953
1.1414E-08
-0.000396
-0.0001957
-0.000396
-0.0001957
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R S 0.3979933 0.63629661 0.40487338 Standard Erre 0.17910984 Observations 526 ANOVA df Significance F MS F Regression 6 11.3270312 1.88783854 58.8472192 1.832E-55 Residual 519 16.6496941 0.03208034 Total 525 27.9767253 Coefficients Standard Erro. t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 0.19491815 0.04723164 4.12685549 4.2837E-05 0.10212945 0.28770685 0.10212945 0.28770685 educ 0.03442776 0.00320564 10.739746 1.9661E-24 0.02813013 0.04072539 0.02813013 0.04072539 0.01626282 0.00232517 6.99423735 8.2538E-12 0.01169491 0.02083073 0.01169491 0.02083073 exper female -0.1419812 0.0159141 -8.9217245 7.8791E-18 -0.1732452 -0.1107173 -0.1732452 0.1107173 married 0.03226401 0.01846498 1.74730847 0.08117529 -0.0040113 0.0685393 -0.0040113 0.0685393 numdep -0.0102891 0.00686473 -1.4988368 0.13452396 -0.0237752 0.00319697 -0.0237752 0.00319697 exper^2 -0.0002958 5.0991E-05 -5.8018953 1.1414E-08 -0.000396 -0.0001957 -0.000396 -0.0001957
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