Multiple OLS Regression MCQ

Multiple OLS Regression MCQ

 

1. R2 change is the change in the amount of variance explained when a second ______ variable is included in a regression model.

Answer

Correct Answer: Independent

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2. Partial Slope Coefficient is the effect of an independent variable on the dependent variable after controlling for ______ independent variable.

Answer

Correct Answer: One or more

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3. Correlation between two variables after controlling for a third variable is known as ______

Answer

Correct Answer: Partial Correlation Coefficient

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4. Nonspuriousness exists when a relationship between two variables is explained by a third variable.

Answer

Correct Answer: False

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5. A regression model predicting one dependent variable with two or more independent variables is known as _____

Answer

Correct Answer: Multivariable Regression Model

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6. Multiple Regression Equation is estimated with two or more independent variables predicting _____dependent variable.

Answer

Correct Answer: One

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7. Multiple Coefficient of Determination is value of R2 when there is _____ independent variables predicting a dependent variable.

Answer

Correct Answer: Two or more

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8. Multicollinearity occurs whenever the independent variables in your regression equation are too highly correlated with one another.

Answer

Correct Answer: True

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9. Standardized slope coefficient in an ordinary least-squares (OLS) regression model is known as _____

Answer

Correct Answer: Beta weight

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10. Value of R2 adjusted to take into account the number of _____ variables in the model predicting the dependent variable.

Answer

Correct Answer: Independent

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