Monty Leaman
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Statistical Analysis Exam

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Research Methods: Multiple Regression

Research Methods: Multiple Regression

Questão 1 de 4

1

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.

Selecione uma das seguintes:

  • 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)

Explicação

Questão 2 de 4

1

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

Selecione uma das seguintes:

  • three or more potentially useful predictors (variables)

  • all predictors (variables)

  • two or more potentially useful predictors (variables)

  • one or more potentially useful predictors (variables)

Explicação

Questão 3 de 4

1

What is factor analysis?

Selecione uma das seguintes:

  • 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

Explicação

Questão 4 de 4

1

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

Selecione uma das seguintes:

  • Simultaneous regression

  • Simple linear regression

  • Hierarchical regression

  • Logistic regression

Explicação

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