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<0.001In 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?

*Answer: 1. For each variable, the null hypothesis is: H0: The variable is not significant, and…

Answered: American Adults (N = 1,946) Model 1

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.8: Fitting Exponential Models To Data

Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...

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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?

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