Do each of the predictor variables improve the model? Explain how you know this is true. Model Summary Change Statistics Adjusted R Square Std. Error of the Estimate R Square Change Sig. F Change R R Square F Change df2 Model df1 .111" .012 .012 3.057 .012 22.185 1771 .000 2 111 .012 .011 3.058 .000 .002 1770 .969 3 462° 214 .212 2.729 .201 452.727 1769 .000 4 494 244 243 2.676 .031 71.763 1768 .000 a. Predictors: (Constant), NonWhite b. Predictors: (Constant), NonWhite, Female c. Predictors: (Constant), NonWhite, Female, Highest year school completed, father d. Predictors: (Constant), NonWhite, Female, Highest year school completed, father, Highest year school completed, mother Coficients" Standardized Coeficients Unstandardized Coeficients Collinearity Statistics Model Std. Error Beta Sig. Tolerance VIF (Constant) 14.262 .081 175.079 .000 Nonwhite 846 180 .111 4.710 .000 1.000 1.000 (Constant) 14.259 .112 126.835 .000 NonWhite 846 180 111 4.707 .000 .999 1.001 Female 006 .146 001 039 969 999 1.001 (Constant) 10.184 216 47.102 .000 NonWhite 283 .163 .037 1.741 .082 972 1.029 Female 090 130 .015 690 490 998 1.002 Highest year school completed, father 331 .016 455 21.277 .000 .972 1.029 (Constant) 9.301 236 39.367 .000 NonWhite 229 .160 .030 1.434 .152 .971 1.030 Female 120 023 1.126 260 995 1.005 144 Highest year school completed, father 209 .021 288 9.981 .000 .515 1.942 Highest year school completed, mother 194 .023 244 8.471 .000 517 1.934
Do each of the predictor variables improve the model? Explain how you know this is true. Model Summary Change Statistics Adjusted R Square Std. Error of the Estimate R Square Change Sig. F Change R R Square F Change df2 Model df1 .111" .012 .012 3.057 .012 22.185 1771 .000 2 111 .012 .011 3.058 .000 .002 1770 .969 3 462° 214 .212 2.729 .201 452.727 1769 .000 4 494 244 243 2.676 .031 71.763 1768 .000 a. Predictors: (Constant), NonWhite b. Predictors: (Constant), NonWhite, Female c. Predictors: (Constant), NonWhite, Female, Highest year school completed, father d. Predictors: (Constant), NonWhite, Female, Highest year school completed, father, Highest year school completed, mother Coficients" Standardized Coeficients Unstandardized Coeficients Collinearity Statistics Model Std. Error Beta Sig. Tolerance VIF (Constant) 14.262 .081 175.079 .000 Nonwhite 846 180 .111 4.710 .000 1.000 1.000 (Constant) 14.259 .112 126.835 .000 NonWhite 846 180 111 4.707 .000 .999 1.001 Female 006 .146 001 039 969 999 1.001 (Constant) 10.184 216 47.102 .000 NonWhite 283 .163 .037 1.741 .082 972 1.029 Female 090 130 .015 690 490 998 1.002 Highest year school completed, father 331 .016 455 21.277 .000 .972 1.029 (Constant) 9.301 236 39.367 .000 NonWhite 229 .160 .030 1.434 .152 .971 1.030 Female 120 023 1.126 260 995 1.005 144 Highest year school completed, father 209 .021 288 9.981 .000 .515 1.942 Highest year school completed, mother 194 .023 244 8.471 .000 517 1.934
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 3BGP
Related questions
Question
Transcribed Image Text:Do each of the predictor variables improve the model? Explain how you know this is true.
Model Summary
Change Statistics
Adjusted R
Square
R Square
Change
Sig. F
Change
Std. Error of
Model
R
R Square
the Estimate
F Change
df1
df2
1
.111
.012
.012
3.057
.012
22.185
1
1771
.000
2
.111
.012
.011
3.058
.000
.002
1
1770
.969
3
462°
.214
.212
2.729
.201
452.727
1
1769
.000
4
494
244
.243
2.676
.031
71.763
1
1768
.000
a. Predictors: (Constant), NonWhite
b. Predictors: (Constant), NonWhite, Female
c. Predictors: (Constant), NonWhite, Female, Highest year school completed, father
d. Predictors: (Constant), NonWhite, Female, Highest year school completed, father, Highest year school completed, mother
Coefficients
Standardized
Coefficients
Unstandardized Coeficients
Collinearity Statistics
Model
Std. Error
Beta
Sig.
Tolerance
VIF
(Constant)
14.262
.081
175.079
000
NonWhite
-846
.180
-111
-4.710
.000
1.000
1.000
2
(Constant)
14.259
112
126.835
.000
666
.999
NonWhite
-.846
.180
-111
-4.707
000
1.001
Female
006
.146
.001
039
.969
1.001
3
(Constant)
10.184
.216
47.102
.000
NonWhite
283
163
037
-1.741
.082
.972
1.029
866
.972
Female
.090
.130
.015
690
.490
1.002
Highest year school
completed, father
331
.016
.455
21.277
.000
1.029
4
(Constant)
9.301
236
39.367
.000
NonWhite
-229
.160
-.030
-1.434
.152
.971
1.030
Female
144
128
.023
1.126
260
995
1.005
Highest year school
completed, father
209
.021
.288
9.981
.000
.515
1.942
Highest year school
completed, mother
.194
.023
.244
8.471
.000
.517
1.934
a Denendent Variahle: Highest vear of school completed
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps with 1 images
Knowledge Booster
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
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Algebra
ISBN:
9781680331141
Author:
HOUGHTON MIFFLIN HARCOURT
Publisher:
Houghton Mifflin Harcourt
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Algebra
ISBN:
9781680331141
Author:
HOUGHTON MIFFLIN HARCOURT
Publisher:
Houghton Mifflin Harcourt
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL
College Algebra (MindTap Course List)
Algebra
ISBN:
9781305652231
Author:
R. David Gustafson, Jeff Hughes
Publisher:
Cengage Learning