\stɐtˈɪstɪkə͡l ɹɪɡɹˈɛʃənz], \stɐtˈɪstɪkəl ɹɪɡɹˈɛʃənz], \s_t_ɐ_t_ˈɪ_s_t_ɪ_k_əl ɹ_ɪ_ɡ_ɹ_ˈɛ_ʃ_ə_n_z]\
Definitions of STATISTICAL REGRESSIONS
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Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In MULTIPLE REGRESSION the dependent variable is considered to depend on more than a single independent variable.
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