In what way is multiple regression an advanced statistical test that differs from the more common inferential statistics of t test and ANOVA?
1. The only difference is that multiple regression is a more powerful test than either a t test or ANOVA.
2. A multiple regression has multiple independent variables and one dependent or outcome variable.
3. A multiple regression has one independent variable and multiple dependent or outcome variables.
4. A multiple regression examines the difference between the mean scores of two or more groups on two or more dependent variables.
2
Rationale 1: Multiple regression looks at multiple factors at one time.
Rationale 2: The t test and ANOVA both have one independent and one dependent variable, although a t test can have two groups within the independent variable and ANOVA can be used to calculate the results of two or more groups (still one independent variable - group) on one dependent variable.
Rationale 3: A multiple regression has multiple independent variables and one dependent or outcome variable.
Rationale 4: This is the definition of a multivariate analysis of variance or MANOVA.
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