MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Concept explainers

Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as p…
Question

Use the table to answer the question

In Equation 2, what variables are NOT significantly related to the dependent variable? The dependent variable is health

 

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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Transcribed Image Text: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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