In: Math
Problem Set 2: Linear Regression Analysis Research Scenario: A social psychologist is interested in whether the number of days spent in a refugee camp predicts trauma levels in recently resettled refugees. He interviews 17 refugees to determine how many days they spent in a refugee camp before being resettled, then administers the Harvard Trauma Questionnaire Part IV (HTQ Part 4), where a higher score indicates higher levels of trauma (Mollica et al., 1992). He compiles the information in the table below. Using this table, enter the data into a new SPSS data file and run a linear regression analysis to test whether days in a refugee camp predict HTQ-4 scores. Create a scatterplot with a regression line to show the relationship between the variables. |
Days Spent in Refugee Camp |
HTQ Part 4 Score |
12 |
0.4 |
73 |
1.1 |
60 |
0.9 |
105 |
2.3 |
98 |
1.7 |
76 |
0.3 |
89 |
0.7 |
173 |
2.6 |
189 |
3.1 |
203 |
3.0 |
138 |
1.9 |
215 |
2.5 |
71 |
0.7 |
67 |
1.2 |
63 |
1.8 |
184 |
2.9 |
63 |
0.6 |
SPSS output is
Descriptive Statistics
Mean Std. Deviation N
Score 1.629 .9674 17
Refugee 110.53 60.810 17
Correlations
Score Refugee
Pearson Correlation Score 1.000 .882
Refugee .882 1.000
Sig. (1-tailed) Score . .000
Refugee .000 .
N Score 17 17
Refugee 17 17
Model | R | R Square | Adjusted R Square | Std. Error of the Estimate |
1 | 0.881697 | 0.77739 | 0.76255 | 0.471427 |
Model | Sum of Squares | df | Mean Square | F | Sig. | |
1 | Regression | 11.64165 | 1 | 11.64165 | 52.38254 | 2.89E-06 |
Residual | 3.333644 | 15 | 0.222243 | |||
Total | 14.97529 | 16 |
Model | B | Std.Error | Beta | t | Sig. | |
1 | (Constant) | 0.079 | 0.243 | 0.325 | 0.749 | |
Refugee | 0.014 | 0.002 | 0.015 | 7.238 | 0.000 | |
a. Dependent Variable: Score |
As we see that days in a refugee camp has a significinat impact of HTQ-4 scores