Description Module 7: Correlation and Bivariate Regression ———————————————————————————————————————————————————————————————————————- Module Introduction In this module we explore two more very common techniques used in public administration and policy research– correlation and regression. We will be touching on both of these topics in greater detail over the next three modules. Our goal for this week, however, is to 1) understand the basic purpose of a correlation and regression model and 2) run and interpret basic correlation and bivariate regression models. Module Learning Objectives 1. Articulate when and why a researcher would use a correlation. 2. Articulate when and why a researcher would use bivariate regression 3. List the assumptions of both tests 4.. Calculate both tests in SPSS 4. Interpret the outputs both tests 5. Identify the type of research questions where a correlation and linear regression is appropriate
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