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The data being used for the quiz are based on data that were collected after the

ID: 3364058 • Letter: T

Question

The data being used for the quiz are based on data that were collected after the 2009 war ended that was between Israel and the Hamas militias in the Gaza Strip. Responses were obtained from a group of students whom were exposed to rocket attacks during that period. The variables in the study include:

ID: Used to indicate the ID# of the participant

Age: The age of the individuals that responded to the survey

Gender: The gender of the individuals that responded to the survey

0 = Female

1 = Male

Parents in range; Indicates whether or not the participant’s parents decided to stay in the range of the rockets

0 = Not in range

1 = In range

Anger: Respondents were asked to estimate the level of anger they felt during the war

Fear: Respondents were asked to estimate the level of fear they felt during the war

Perceived Threat: Respondents estimated the likelihood/probability that they would experience risky events within the next 12 months

7.0

How much of the variation in perceived threat can be explained by:

NOTE: Please convert your answer to a percent (XX.XX%)

a. age: ______

b. both age and the level of anger someone felt during the war: ______

Generate the regression equation for the Model 2.

ID age gender parents.in.range anger fear perceived.threat 1 35 0 0 4.5

7.0

64.90 2 40 0 0 7.0 7.0 86.78 3 28 1 0 5.0 5.0 87.97 4 25 1 0 2.0 2.0 44.63 5 26 1 0 5.5 2.0 98.83 6 33 0 1 6.5 2.0 61.45 7 21 1 1 4.0 4.0 42.38 8 29 1 1 5.0 2.5 99.61 9 21 0 1 3.0 3.5 83.61 10 20 1 1 5.5 4.5 76.94 11 39 1 0 6.0 1.5 49.23 12 31 1 1 4.0 2.0 5.16 13 34 0 1 3.0 3.0 64.15 14 34 0 1 4.0 6.0 25.56 15 26 1 0 2.5 5.5 84.39

Explanation / Answer

Solution:

Part a

First of all we have to find the percentage of variation in the dependent variable perceived threat due to age only. The value of R square or the coefficient of determination is given as 0.031, this means about 3.1% of the variation in the dependent variable perceived threat is explained by the independent variable age (see model 1 below).

Part b

Now, we have to find the percentage of variation in the dependent variable perceived threat due to age and level of anger. For this model, the coefficient of determination or the value of R square is given as 0.17, this means about 17% of the variation in the dependent variable perceived threat is explained by independent variables age and level of anger (see model 2 below).

Regression outputs for both models are given as below:

Model 1

Regression Statistics

Multiple R

0.176181409

R Square

0.031039889

Adjusted R Square

-0.043495504

Standard Error

28.02079623

Observations

15

ANOVA

df

SS

MS

F

Significance F

Regression

1

326.9780148

326.978

0.416445

0.529941664

Residual

13

10207.14528

785.165

Total

14

10534.12329

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

87.40171677

35.40008693

2.468969

0.028189

10.92447868

163.8789549

age

-0.758904415

1.176002581

-0.64533

0.529942

-3.299503527

1.781694697

Model 2

Regression Statistics

Multiple R

0.413411623

R Square

0.17090917

Adjusted R Square

0.032727365

Standard Error

26.97799261

Observations

15

ANOVA

df

SS

MS

F

Significance F

Regression

2

1800.378269

900.1891

1.236843

0.324797494

Residual

12

8733.745025

727.8121

Total

14

10534.12329

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

76.22194993

34.97666897

2.179223

0.049963

0.014334916

152.4295649

age

-1.566981323

1.266695017

-1.23706

0.239726

-4.326872674

1.192910028

anger

7.775799935

5.465052511

1.422823

0.180261

-4.131526578

19.68312645

Regression Statistics

Multiple R

0.176181409

R Square

0.031039889

Adjusted R Square

-0.043495504

Standard Error

28.02079623

Observations

15

ANOVA

df

SS

MS

F

Significance F

Regression

1

326.9780148

326.978

0.416445

0.529941664

Residual

13

10207.14528

785.165

Total

14

10534.12329

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

87.40171677

35.40008693

2.468969

0.028189

10.92447868

163.8789549

age

-0.758904415

1.176002581

-0.64533

0.529942

-3.299503527

1.781694697

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