In the full model, Equation 2, what variables are NOT significantly related to the dependent variable? TABLE 2.1 Self-Reported Health Regressed on Education, Controlling forSociodemographic Characteristics (Equation 1) and Work andEconomic Conditions (Equation 2)Equation 1VariableEducationSex (male = 1)Race (White = 1)Age (in years)Marital status(married = 1)Employed full-timeEmployed part-time"Unable to workHousehold incomeEconomic hardshipWork fulfillmentConstant2R²þ.076***(.007).114**(.038).239***(.056)-.013***(.001).105**(.040)3.413.152Beta.220.062.089-247058bEquation 2041*****(,007).051(.038).168**(.054)-.012***(.001).043(.037).174***(044).109(.064)-.835***(.114).001(.001)-.172***(.028).158***(.024)3.729.234Beta.121.028.062-226.024.098.038-150.040-.133.134SOURCE: Table adapted from Ross and Wu (1995). Reprinted by permission.NOTE: N = 2,031; b =unstandardized regression coefficient with standard error inparentheses; Beta standardized regression coefficient.à. Compared to not employed (for reasons other than health),*p < .05; **p < .01; ***p < .001 (two-tailed tests).

The regression model shows how 1 dependent variable and 1 or more independent variables are related.…

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In the full model, Equation 2, what variables are NOT significantly related to the dependent variable?

MATLAB: An Introduction with Applications

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Question

In the full model, Equation 2, what variables are NOT significantly related to the dependent variable?

TABLE 2.1 Self-Reported Health Regressed on Education, Controlling for
Sociodemographic Characteristics (Equation 1) and Work and
Economic Conditions (Equation 2)
Equation 1
Variable
Education
Sex (male = 1)
Race (White = 1)
Age (in years)
Marital status
(married = 1)
Employed full-time
Employed part-time"
Unable to work
Household income
Economic hardship
Work fulfillment
Constant
2
R²
þ
.076***
(.007)
.114**
(.038)
.239***
(.056)
-.013***
(.001)
.105**
(.040)
3.413
.152
Beta
.220
.062
.089
-247
058
b
Equation 2
041*****
(,007)
.051
(.038)
.168**
(.054)
-.012***
(.001)
.043
(.037)
.174***
(044)
.109
(.064)
-.835***
(.114)
.001
(.001)
-.172***
(.028)
.158***
(.024)
3.729
.234
Beta
.121
.028
.062
-226
.024
.098
.038
-150
.040
-.133
.134
SOURCE: Table adapted from Ross and Wu (1995). Reprinted by permission.
NOTE: N = 2,031; b =unstandardized regression coefficient with standard error in
parentheses; Beta standardized regression coefficient.
à. Compared to not employed (for reasons other than health),
*p < .05; **p < .01; ***p < .001 (two-tailed tests).

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