Use this multiple regression table to answer the series of questions below. Self-Reported Depression1 among Older American Adults (N = 1,946) Model 1Model 2Variablesb (se)Betab (se)BetaDrinking Problems with drinking(0= little to no problems with drinking to 4= serious problems with alcohol).599 (.118).117***.429 (.108).084***Socio-Demographics Gender(Male =1)-.815 (.221)-.087***-.553 (.203)-.059**Race/Ethnicity(White = 1)-1.105 (.250)-.099***-.088 (.239)-.008Marital Status(Married = 1)-.894 (.233)-.091***-.352 (.225)-.036Age (57 - 85 years old).029 (.014).048*-.026 (.014)-.043 Socio-Economic IndicatorsIncome (1 = 0-24,999 to4 = 100k or higher) -.612 (.121) -.133***Education (1 = less than High school to 4 = Bachelors or more) -.238 (.108)-.053*Employment Status (Employed = 1) -.548 (.224)-.055*Health Physical Health(1 = Poor to 5 = Excellent) -1.410 (.094)-.329*** Intercept 3.375 13.914R2.042.2031Self-Reported Depression ranges from 0 to 30, with higher scores reflecting more depressive symptoms. *p<0.05; **p<0.01; ***p<0.001 Who is the population?What is the sample size?What is the dependent variable?In the full model, Model 2, what variables are significantly related to the dependent variable?At what point does the regression line hit the y axis in Model 2?What is the direction of the relationship between problems with drinking and depression? In other words, is it positive, negative, or nonexistent? Interpret the partial slope of problems with drinking in a sentence for Model 1.What percentage of the variance in depression do all of the independent variables together explain? Which variable is the strongest predictor of depression? How do you know?When the socioeconomic (SES) and health variables are added in Model 2, is there evidence that they mediate the relationship between race/ethnicity and depression? How do you know?For Model 1, what score on depression would you predict for a non-white, unmarried male who is 75 years old and has a score of 2 for problems with drinking?

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Answered: Use this multiple regression table to…

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 11PPS

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Use this multiple regression table to answer the series of questions below.

Self-Reported Depression¹ among Older American Adults (N = 1,946)
	Model 1	Model 2
Variables	b (se)	Beta	b (se)	Beta
Drinking
Problems with drinking (0= little to no problems with drinking to 4= serious problems with alcohol)	.599 (.118)	.117***	.429 (.108)	.084***
Socio-Demographics
Gender (Male =1)	-.815 (.221)	-.087***	-.553 (.203)	-.059**
Race/Ethnicity (White = 1)	-1.105 (.250)	-.099***	-.088 (.239)	-.008
Marital Status (Married = 1)	-.894 (.233)	-.091***	-.352 (.225)	-.036
Age (57 - 85 years old)	.029 (.014)	.048*	-.026 (.014)	-.043

Socio-Economic Indicators Income (1 = 0-24,999 to 4 = 100k or higher)			-.612 (.121)	-.133***
Education (1 = less than High school to 4 = Bachelors or more)			-.238 (.108)	-.053*
Employment Status (Employed = 1)			-.548 (.224)	-.055*
Health
Physical Health (1 = Poor to 5 = Excellent)			-1.410 (.094)	-.329***
Intercept	3.375	13.914
R²	.042	.203
¹Self-Reported Depression ranges from 0 to 30, with higher scores reflecting more depressive symptoms. p<0.05; p<0.01; **p<0.001

Who is the population?
What is the sample size?
What is the dependent variable?
In the full model, Model 2, what variables are significantly related to the dependent variable?
At what point does the regression line hit the y axis in Model 2?
What is the direction of the relationship between problems with drinking and depression? In other words, is it positive, negative, or nonexistent?
Interpret the partial slope of problems with drinking in a sentence for Model 1.
What percentage of the variance in depression do all of the independent variables together explain?
Which variable is the strongest predictor of depression? How do you know?
When the socioeconomic (SES) and health variables are added in Model 2, is there evidence that they mediate the relationship between race/ethnicity and depression? How do you know?
For Model 1, what score on depression would you predict for a non-white, unmarried male who is 75 years old and has a score of 2 for problems with drinking?

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Use this multiple regression table to answer the series of questions below.

Self-Reported Depression¹ among Older American Adults (N = 1,946)
	Model 1	Model 2
Variables	b (se)	Beta	b (se)	Beta
Drinking
Problems with drinking (0= little to no problems with drinking to 4= serious problems with alcohol)	.599 (.118)	.117***	.429 (.108)	.084***
Socio-Demographics
Gender (Male =1)	-.815 (.221)	-.087***	-.553 (.203)	-.059**
Race/Ethnicity (White = 1)	-1.105 (.250)	-.099***	-.088 (.239)	-.008
Marital Status (Married = 1)	-.894 (.233)	-.091***	-.352 (.225)	-.036
Age (57 - 85 years old)	.029 (.014)	.048*	-.026 (.014)	-.043

Socio-Economic Indicators Income (1 = 0-24,999 to 4 = 100k or higher)			-.612 (.121)	-.133***
Education (1 = less than High school to 4 = Bachelors or more)			-.238 (.108)	-.053*
Employment Status (Employed = 1)			-.548 (.224)	-.055*
Health
Physical Health (1 = Poor to 5 = Excellent)			-1.410 (.094)	-.329***
Intercept	3.375	13.914
R²	.042	.203
¹Self-Reported Depression ranges from 0 to 30, with higher scores reflecting more depressive symptoms. p<0.05; p<0.01; **p<0.001

In the full model, Model 2, what variables are significantly related to the dependent variable?
At what point does the regression line hit the y axis in Model 2?
What is the direction of the relationship between problems with drinking and depression? In other words, is it positive, negative, or nonexistent?
Interpret the partial slope of problems with drinking in a sentence for Model 1.
What percentage of the variance in depression do all of the independent variables together explain?
Which variable is the strongest predictor of depression? How do you know?
When the socioeconomic (SES) and health variables are added in Model 2, is there evidence that they mediate the relationship between race/ethnicity and depression? How do you know?
For Model 1, what score on depression would you predict for a non-white, unmarried male who is 75 years old and has a score of 2 for problems with drinking?