Regression and Multicollinearity

What is the value for Regression?

• Pearson r

• R²

• Beta

• Alpha

What is the main goal of regression?

• To investigate the causation of independent variables to a dependent variable.

• To investigate the relationship between variables.

• To compare the scores between two different groups of participants.

• To find out the mean and standard deviation of a study.

Which are the different ways to test a regression model? (more than one answer)

• Analysing residuals

• Testing significance of slopes

• Testing significance of overall model

• Coefficient of determination (R²)

Which are the types of regression?

• Linear Regression

• Uniregression

• Mass regression

• Multiple regression

Multicollinearity exists when the Tolerance value are ___________ and VIF values are ________.

• Less than 0.5, more than 5

• Less than 0.1, more than 10

• Less than 0.01, more than 10

• Less than 0.3, more than 8

If a regression has a Tolerance value of 1.05 and VIF value of 4.78, there is no multicollinearity.

• True

• False

Which are the causes of multicollinearity? (more than one answer)

• Wrong data collection employed

• An over-determined model

• There is too much data.

• Insufficient data

• Dummy variables may be used incorrectly.

What are the ways to resolve multicollinearity? (more than one answer)

• Use correlation analysis

• Collect more data

• Drop one of the variables or combine two variables into one.

• Not falling into dummy variable.