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Regression and Multicollinearity

Authored by Alex (FSS)

Science, Mathematics

University - Professional Development

8 Questions

Used 3+ times

Regression and Multicollinearity
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1.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What is the value for Regression?

Pearson r

R2

Beta

Alpha

2.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

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.

3.

MULTIPLE SELECT QUESTION

30 sec • 5 pts

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)

4.

MULTIPLE SELECT QUESTION

30 sec • 5 pts

Which are the types of regression?

Linear Regression

Uniregression

Mass regression

Multiple regression

5.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

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

6.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

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

True

False

7.

MULTIPLE SELECT QUESTION

45 sec • 5 pts

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.

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