MCQ Bank
To run, multiple linear regression analysis, we need two or more continuous _________ variable.
- A) Nominal
- B) Independent
- C) Extraneous
- D) Dependent
A collection of statistical methods that generally requires very few assumptions about the population distribution is known as:
- A) None of the above
- B) Semiparametric
- C) Parametric methods
- D) Nonparametric methods
To run, multiple linear regression analysis, we need one continuous _________ variable.
- A) Independent
- B) Dependent
- C) Nominal
- D) Extraneous
Which of the following refers to a statistical concept where several independent variables in a model are highly correlated?
- A) Multicollinearity
- B) Homoscedasticity
- C) Linear relationship
- D) Constant variance
Which of the following model can also be used to statistically control for an additional variable (or variables) when exploring the predictive ability of the model?
- A) None of the above
- B) Simple linear regression
- C) Independent model
- D) Multiple regression model
The level of measurement for nonparametric test should be:
- A) Ratio
- B) Interval
- C) Ordinal
- D) None of above
Nonparametric statistics do not assume that data is drawn from a normal distribution, therefore, it is also called ______________ tests.
- A) Distribution free
- B) Semiparametric
- C) Normality
- D) Parametric
In which of the following model variables are entered in steps with each independent variable being assessed in terms of what it adds to the prediction of the dependent variable after the previous variables have been controlled for?
- A) Independent model
- B) Multiple regression model
- C) Simple linear regression
- D) Hierarchical multiple regression