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Linear Regression
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1. Stepwise Linear Regression
Stepwise linear regression is a model which incrementally includes or excludes variables based on the researcher's set criteria to assess the differences in variance and predict or explain the relationship between the variables.
Category: Methodology
Citation: Lewis-Beck, M., Bryman, A., & Liao, T. (2004). The SAGE encyclopedia of social science research methods (Vols. 1–3). Thousand Oaks, CA: SAGE Publications. https://doi.org/10.4135/9781412950589
2. Multiple Linear Regression
Multiple linear regression estimates the linear (i.e., straight line) relationship between one or more independent variable and a continuous dependent variable.
Category: Methodology
Citation: Tranmer, M., Murphy, J., Elliot, M., and Pampaka, M. (2020) Multiple Linear Regression (2nd Edition); Cathie Marsh Institute Working Paper 2020-01. https://hummedia.manchester.ac.uk/institutes/cmist/archive-publications/working-papers/2020/2020-1-multiple-linear-regression.pdf 
Related Terms:
3. Linear Regression
A linear regression is a model of the relationship between two variables, the explanatory variable and dependent variable, through a linear equation. When graphed, a linear regression appears as a straight line with either a positive or negative slope.
Category: Methodology
4. Log-Linear Regression
Loglinear models allow researchers to investigate relationships between categorical variables, which may include variables which rank traits in order or perhaps distinguish between groups based on certain traits (e.g., enlisted service members versus officers). However, it is important to note that loglinear models do not idicate the order in which variables are related. For example, loglinear models may be used to examine whether military rank is related to marital status, but could not indicate if military rank predicts marital status or vice versa.
Category: Methodology
Citation: University of Virginia Library Research Data Services + Sciences. (n.d.). Retrieved October 26, 2020, from https://data.library.virginia.edu/an-introduction-to-loglinear-models/
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These materials were developed as a result of a partnership funded by the Department of Defense (DoD) between the DoD's Office of Military Community and Family Policy and the U.S. Department of Agriculture/National Institute of Food and Agriculture (USDA/NIFA) through a grant/cooperative agreement with Auburn University. USDA/NIFA Award No. 2021-48710-35671.


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