Research Methods: Multiple Regression

Descripción

Statistical Analysis Exam
Monty Leaman
Test por Monty Leaman, actualizado hace más de 1 año
Monty Leaman
Creado por Monty Leaman hace casi 7 años
119
1

Resumen del Recurso

Pregunta 1

Pregunta
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.
Respuesta
  • 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)

Pregunta 2

Pregunta
To carry out multiple regression, you must include ...
Respuesta
  • three or more potentially useful predictors (variables)
  • all predictors (variables)
  • two or more potentially useful predictors (variables)
  • one or more potentially useful predictors (variables)

Pregunta 3

Pregunta
What is factor analysis?
Respuesta
  • 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

Pregunta 4

Pregunta
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
Respuesta
  • Simultaneous regression
  • Simple linear regression
  • Hierarchical regression
  • Logistic regression
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