Final answer:
In multiple regression analysis, the dependent variable can be either nominal, categorical, or continuous depending on the study. Dependent variables are outcomes that are modeled or predicted based on changes in independent variables.
Step-by-step explanation:
In multiple regression analysis, the dependent variable is not limited to being nominal or categorical; it can also be a continuous variable. Whether a variable is categorized as dependent usually depends on the context of the study and the nature of the investigation. An example is provided using the following scenarios:
- Independent variable: age of drivers, Dependent variable: number of fatalities (a study on motor vehicle fatalities).
- Independent variable: weekly grocery bill, Dependent variable: number of family members (a study on household expenses).
In these cases, the dependent variable is the outcome of interest which the research aims to explain or predict through changes in the independent variables. In the context of regression analysis, the input variables (independent) are used to model or estimate the output variable (dependent).