Multi-variate regression infographic – Jon, Lucas, Bahnu

We would explain the relationship between a dependent variable – the likelihood a voter will select democrat on the election date – and three independent variables – minority status, gender, and urban/rural. We would run multivariate regression. This is a statistical tool used to explain a dependent variable with 2 or more independent variables. A mulitivariate regression allows us to isolate the effect of one dependent, while controlling for the effects of other independent variable. We would utilize the research from the NES 2008 and GSS 2008 election polling data. We would run this data through SPSS software suite. SPSS provides clear visual data that can be adapted to an infographic. This data is produced every presidential election and is utilized by analytic social scientists. We would articulate this data via an infographic. Stastical analysis seems easiest to comprehend with visual cues and data. The conclusion we would probably arrive at is: an individual has a higher statistical likelihood to vote democrat, if they are a woman, live in an urban/city, or are a minority. The intended audience would be college educated statisticians/those who enjoy infographics