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1. Interpret the following output. Interpret all of the coefficients (standardized and unstandardized). Specifically, R-Squared, unstandardized beta, standardized beta, and the constant. Your dependent variable is EDUC(years of education completed). (White is the reference category). Model Summary Adjusted R Std. Error of the Estimate 2.943 Model R R Square Square 1 .147 .022 .021 a. Predictors: (Constant), Other race, Black dummy Coefficients<sup>a</sup> Unstandardized Standardized Model Coefficients Coefficients t Sig. B Std. Error Beta 1 (Constant) 13.980 .072 195.383 .000 Black -.608 .166 -.076 -3.652 <.001 dummy Other race -1.296 .193 -.139 -6.708 <.001 a. Dependent Variable: Highest year of school completed 

          1. Interpret the following output. Interpret all of the
coefficients (standardized and unstandardized).
Specifically, R-Squared, unstandardized beta, standardized
beta, and the constant. Your dependent variable is
EDUC(years of education completed). (White is the
reference category).
Model Summary
Adjusted R
Std. Error of
the Estimate
2.943
Model R R Square Square
1 .147 .022 .021
a. Predictors: (Constant), Other race, Black dummy
Coefficients<sup>a</sup>
Unstandardized
Standardized
Model Coefficients Coefficients t Sig.
B Std. Error Beta
1 (Constant) 13.980 .072 195.383 .000
Black -.608 .166 -.076 -3.652 <.001
dummy
Other race -1.296 .193 -.139 -6.708 <.001
a. Dependent Variable: Highest year of school completed
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1. Interpret the following output. Interpret all of the coefficients (standardized and unstandardized). Specifically, R-Squared, unstandardized beta, standardized beta, and the constant. Your dependent variable is EDUC(years of education completed). (White is the reference category). Model Summary Adjusted R Std. Error of the Estimate 2.943 Model R R Square Square 1 .147 .022 .021 a. Predictors: (Constant), Other race, Black dummy Coefficients<sup>a</sup> Unstandardized Standardized Model Coefficients Coefficients t Sig. B Std. Error Beta 1 (Constant) 13.980 .072 195.383 .000 Black -.608 .166 -.076 -3.652 <.001 dummy Other race -1.296 .193 -.139 -6.708 <.001 a. Dependent Variable: Highest year of school completed

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Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Interpret the following output. Interpret all of the coefficients (standardized and unstandardized). Specifically, R-Squared, unstandardized beta, standardized beta, and the constant. Your dependent variable is EDUC (years of education completed). (White is the reference category). Model Summary Adjusted R Square: 0.021 Std. Error of the Estimate: 2.943 a. Predictors: Constant, Other race, Black dummy Coefficientsa Unstandardized Coefficients Standardized Coefficients Model B Std. Error Beta t Sig. (Constant) 13.980 0.072 195.383 0.000 Black -0.608 0.166 -0.076 -3.652 0.001 dummy Other race 1.296 0.193 -0.139 -6.708 <.001 a. Dependent Variable: Highest year of school completed
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Transcript

-
00:01 Hello everyone, welcome to numerate.
00:03 We were given a problem over here.
00:05 Let's read together.
00:08 R squared adjusted r squared standard deviation.
00:11 We were given all those stats in the anva model.
00:14 We given a dependent variable, attitude predictors.
00:21 The question is all lumped together here, but i didn't give them coefficients...
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