Results from multiple linear regression model with facial inferences as predictor variables and percentage of votes won in simulated U.S. Presidential voting as the criterion variable, controlling for political incumbency and party.
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https://figshare.com/articles/dataset/_Results_from_multiple_linear_regression_model_with_facial_inferences_as_predictor_variables_and_percentage_of_votes_won_in_simulated_U_S_Presidential_voting_as_the_criterion_variable_controlling_for_political_incumbency_and_party_/588395
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Each candidate is the unit of analysis (Standardized Beta Coefficients * <0.05; ** 0.001; *** 0.0001).
创建时间：
2013-02-21
