At what point does the regression line hit the y axis in Equation 1? 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).

the value of constant = α = 3.413 the constant is the value of the dependent variable when the…

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at point does the regression line

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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 predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

At what point does the regression line hit the y axis in Equation 1?

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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