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Lab 4

Authored by Applied Methods

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Lab 4
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6 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is not an assumption of linear regression?

Normal distribution of errors

No perfect multicollinearity

Equal variance in groups

Homoscedasticity

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

This distribution fulfills the assumption of homoscedasticity.

True

False

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

In a model, we include both the regional and country characteristics as independent variables. Which of the following is true?

We do not have to check for linearity.

This could lead to collinearity issues.

Outliers are controlled for.

We have an iid sample.

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

If linearity does not hold...

one should not analyze the data at all.

one should always use robust standard errors.

one should transform the variable accordingly.

this is not problematic.

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Which of the following statements is true?

cons_ is the predicted outcome if treatment = 0

the estimate of population is not significant.

treatment has the smallest effect on the outcome.

38% of variance in turnout are explained by this model.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

An interaction effect is a way to formalize a moderating effect of one variable on the relationship between two variables.

True

False

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