Use this multiple regression table to answer the series of questions below. Although it is here for your convenience, you can also find it on page 26 of the assigned reading "How do I Interpret Multiple Regression?" Feel free to use the text of that reading to help you answer the questions here. What is the dependent variable? TABLE 2.1 Self-Reported Health Regressed on Education, Controlling forSociodemographic Characteristics (Equation 1) and Work andEconomic Conditions (Equation 2)Equation 2BetaEquation 1VariableBetaEducation076***.220.041***.121(.007)(.007)Sex (male = 1).114**.062.051.028(.038).239**(.056)(.038).168**(.054)Race (White = 1).089.062Age (in years)-.013***-247-.012***-226(.001).105**(040)(.001)Marital status.058.043.024(married = 1}Employed full-time(.037).174***(.044).098Employed part-time.109.038(.064)Unable to work-835***-150(.114)Household income.001.040(.001)Economic hardshipm.172***-133(.028).158***(.024)Work fulfillment.134Constant3.4133.729.152.234SOURCE: 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.a. Compared to not employed (for reasons other than health).*p < .05; **p < .01; ***p <.001 (two-tailed tests).

Y=betao+ beta1X1+ beta2 X2+ beta3 X3 Then X1, X2 and X3 are independent variables and Y be the…

Answered: Use this multiple regression table to…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Use this multiple regression table to answer the series of questions below. Although it is here for your convenience, you can also find it on page 26 of the assigned reading "How do I Interpret Multiple Regression?" Feel free to use the text of that reading to help you answer the questions here.

What is 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 2
Beta
Equation 1
Variable
Beta
Education
076***
.220
.041***
.121
(.007)
(.007)
Sex (male = 1)
.114**
.062
.051
.028
(.038)
.239**
(.056)
(.038)
.168**
(.054)
Race (White = 1)
.089
.062
Age (in years)
-.013***
-247
-.012***
-226
(.001)
.105**
(040)
(.001)
Marital status
.058
.043
.024
(married = 1}
Employed full-time
(.037)
.174***
(.044)
.098
Employed part-time
.109
.038
(.064)
Unable to work
-835***
-150
(.114)
Household income
.001
.040
(.001)
Economic hardship
m.172***
-133
(.028)
.158***
(.024)
Work fulfillment
.134
Constant
3.413
3.729
.152
.234
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.
a. Compared to not employed (for reasons other than health).
*p < .05; **p < .01; ***p <.001 (two-tailed tests).

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Which of the following is true about the direction of the relationship between education and health? In other words, is it positive, negative, or nonexistent?

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