Using the Afrobarometer Dataset a multiple regression analysis was performed with the outputs below Based on these results a) What is the possible research question b) What is the null hypothesis for the question c) What research design would align with this question d) What dependent variable was used and how is it measured e) What independent variables are used and how are they measured What is the justification for including these predictor variables f) If you found significance, what is the strength of the effect g) Explain your results for a lay audience, and explain what the answer to your research question Descriptive Statistics Mean Std Deviation N Trust in Government Index (higher scores more trust) 8 0244 4 20829 9482 Q1 Age 36 88 14 231 9482 Q101 Gender of respondent 1 49 500 9482 Education Category 1 46 957 9482 Employment Status 3342 47174 9482 Lived Poverty Index (average index of 5 poverty items) 1 237 9486 9482 Correlations Trust in Government Index (higher scores more trust) Q1 Age Q101 Gender of respondent Education Category Employment Status Lived Poverty Index (average index of 5 poverty items) Pearson Correlation Trust in Government Index (higher scores more trust) 1 000 081 015 174 073 022 Q1 Age 081 1 000 111 265 004 042 Q101 Gender of respondent 015 111 1 000 104 127 001 Education Category 174 265 104 1 000 260 231 Employment Status 073 004 127 260 1 000 192 Lived Poverty Index (average index of 5 poverty items) 022 042 001 231 192 1 000 Sig (1 tailed) Trust in Government Index (higher scores more trust)

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Question: Using the Afrobarometer Dataset a multiple regression analysis was performed with the outputs below. Based on these results a) What is the possible research question?

Using the Afrobarometer Dataset a multiple regression analysis was performed with the outputs below. Based on these results

a) What is the possible research question?

b) What is the null hypothesis for the question?

c) What research design would align with this question?

d) What dependent variable was used and how is it measured?

e) What independent variables are used and how are they measured? What is the justification for including these predictor variables?

f) If you found significance, what is the strength of the effect?

g) Explain your results for a lay audience, and explain what the answer to your research question.

Descriptive Statistics
	Mean	Std. Deviation	N
Trust in Government Index (higher scores=more trust)	8.0244	4.20829	9482
Q1. Age	36.88	14.231	9482
Q101. Gender of respondent	1.49	.500	9482
Education Category	1.46	.957	9482
Employment Status	.3342	.47174	9482
Lived Poverty Index (average index of 5 poverty items)	1.237	.9486	9482

Correlations
	Trust in Government Index (higher scores=more trust)	Q1. Age	Q101. Gender of respondent	Education Category	Employment Status	Lived Poverty Index (average index of 5 poverty items)
Pearson Correlation	Trust in Government Index (higher scores=more trust)	1.000	.081	-.015	-.174	-.073	-.022
Q1. Age	.081	1.000	-.111	-.265	-.004	.042
Q101. Gender of respondent	-.015	-.111	1.000	-.104	-.127	.001
Education Category	-.174	-.265	-.104	1.000	.260	-.231
Employment Status	-.073	-.004	-.127	.260	1.000	-.192
Lived Poverty Index (average index of 5 poverty items)	-.022	.042	.001	-.231	-.192	1.000
Sig. (1-tailed)	Trust in Government Index (higher scores=more trust)	.	<.001	.071	<.001	<.001	.016
Q1. Age	.000	.	.000	.000	.333	.000
Q101. Gender of respondent	.071	.000	.	.000	.000	.478
Education Category	.000	.000	.000	.	.000	.000
Employment Status	.000	.333	.000	.000	.	.000
Lived Poverty Index (average index of 5 poverty items)	.016	.000	.478	.000	.000	.
N	Trust in Government Index (higher scores=more trust)	9482	9482	9482	9482	9482	9482
Q1. Age	9482	9482	9482	9482	9482	9482
Q101. Gender of respondent	9482	9482	9482	9482	9482	9482
Education Category	9482	9482	9482	9482	9482	9482
Employment Status	9482	9482	9482	9482	9482	9482
Lived Poverty Index (average index of 5 poverty items)	9482	9482	9482	9482	9482	9482

Model Summary^b
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Change Statistics	PRESS
R Square Change	F Change	df1	df2	Sig. F Change
1	.196^a	.038	.038	4.12777	.038	75.693	5	9476	<.001	161664.856
a. Predictors: (Constant), Lived Poverty Index (average index of 5 poverty items), Q101. Gender of respondent, Q1. Age, Employment Status, Education Category
b. Dependent Variable: Trust in Government Index (higher scores=more trust)

ANOVA^a
Model	Sum of Squares	df	Mean Square	F	Sig.
1	Regression	6448.498	5	1289.700	75.693	<.001^b
Residual	161456.874	9476	17.039
Total	167905.372	9481
a. Dependent Variable: Trust in Government Index (higher scores=more trust)
b. Predictors: (Constant), Lived Poverty Index (average index of 5 poverty items), Q101. Gender of respondent, Q1. Age, Employment Status, Education Category

Coefficients^a
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B	Collinearity Statistics
B	Std. Error	Beta	Lower Bound	Upper Bound	Tolerance	VIF
1	(Constant)	9.749	.233		41.754	<.001	9.291	10.206
Q1. Age	.010	.003	.034	3.171	.002	.004	.016	.907	1.102
Q101. Gender of respondent	-.297	.087	-.035	-3.426	<.001	-.467	-.127	.958	1.044
Education Category	-.763	.049	-.174	-15.613	<.001	-.859	-.667	.821	1.217
Employment Status	-.411	.095	-.046	-4.346	<.001	-.597	-.226	.901	1.110
Lived Poverty Index (average index of 5 poverty items)	-.321	.046	-.072	-6.914	<.001	-.412	-.230	.926	1.079
a. Dependent Variable: Trust in Government Index (higher scores=more trust)

Collinearity Diagnostics^a
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
(Constant)	Q1. Age	Q101. Gender of respondent	Education Category	Employment Status	Lived Poverty Index (average index of 5 poverty items)
1	1	4.583	1.000	.00	.00	.00	.01	.01	.01
2	.706	2.548	.00	.00	.00	.02	.60	.10
3	.336	3.694	.00	.00	.01	.31	.35	.36
4	.231	4.458	.00	.15	.03	.33	.00	.44
5	.121	6.165	.00	.40	.44	.08	.03	.00
6	.025	13.637	.99	.45	.52	.26	.01	.09
a. Dependent Variable: Trust in Government Index (higher scores=more trust)

Residuals Statistics^a
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	5.5758	10.4233	8.0244	.82471	9482
Residual	-9.94770	8.82649	.00000	4.12668	9482
Std. Predicted Value	-2.969	2.909	.000	1.000	9482
Std. Residual	-2.410	2.138	.000	1.000	9482
a. Dependent Variable: Trust in Government Index (higher scores=more trust)

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