Monty Leaman
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Statistical Analysis Exam

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Monty Leaman
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Research Methods: Multiple Regression

Question 1 of 4

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Fill in the Blank: Multiple Regression is a logical extension of linear regression that allows us to ... and assess whether adding additional variables or combination of variables (factors) to the regression will enhance the power of the regression model.

Select one of the following:

  • examine the influence of a key X variable (regressor) on Y (dependent variable)

  • examine the influence of multiple X variables (regressors) on Y (dependent variable)

  • examine the influence of a key X variable (regressor) on Y (independent variable)

  • examine the influence of multiple X variables (regressors) on Y (independent variable)

Explanation

Question 2 of 4

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To carry out multiple regression, you must include ...

Select one of the following:

  • three or more potentially useful predictors (variables)

  • all predictors (variables)

  • two or more potentially useful predictors (variables)

  • one or more potentially useful predictors (variables)

Explanation

Question 3 of 4

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What is factor analysis?

Select one of the following:

  • A statistical method that describes the variability of observed variables, and correlates them to unobserved factors; usually in terms of a lower and higher score.

  • A statistical process by which all variables are forced into a regression model (all analysed at the same time) regardless of their statistical significance

Explanation

Question 4 of 4

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Which of the following is a statistical process by which all variables are forced into a regression model (all analysed at the same time) regardless of their statistical significance

Select one of the following:

  • Simultaneous regression

  • Simple linear regression

  • Hierarchical regression

  • Logistic regression

Explanation

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