The purpose of this discussion post is to create an RQ for a multiple regression and answer the prompted questions.
RQ: What is the relationship between level of democracy and age and lived in poverty index.
IV1= Age IV2=Level of Democracy
DV = Lived in poverty Index
Null Hypothesis: There is no relationship between the level of democracy and age and living in poverty index.
A cross-sectional research design would align. Cross-sectional designs have no time dimensions, measures differences between subject, is passive and usually involves a survey that provides a snapshot at a point in time.
DV= Lived in poverty index
Measured = continuous scale interval ratio
IV1= Age, measurement = continuous scale interval ratio
IV2 = level of democracy, Measurement = continuous scale interval ratio
Justification = “this allows controlling the effects of other independent variables” ( Laureate Education, 2016j).
RQ= There is a significant relationship between the level of democracy and age and lived in poverty index. The respondents age and reporting high levels of democracy are both significance predictors of the likely hood to report having lived in poverty based on the index.
For every unit of increase of the respondents age their likelihood of reporting of have lived in poverty increases .049. For every unit of increase of the respondent reporting of the level of democracy the likelihood of reporting of have lived in poverty decreases .105 units.
Model Summary table attached
ANOVAa table attached
Coefficientsa table attached
Laureate Education (Producer). (2016j). Multiple regression: A demonstration [Video file]. Baltimore, MD: Author.
Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
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