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.
Global Rationale:
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