
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 |
- 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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