05_OrLeSq_2

05_OrLeSq_2

University

6 Qs

quiz-placeholder

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05_OrLeSq_2

05_OrLeSq_2

Assessment

Quiz

Other

University

Practice Problem

Hard

Created by

Ira Simankova

Used 3+ times

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6 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Choose the correct statements

Total sum of squares is the sum of squared deviations from the mean of y.

Sum of squared residuals is equal to total sum of squares when the variables are demeaned.

Sum of squared residuals always equals to zero .

All of the above.

2.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

If the data is demeaned, then ...

The estimator is biased, we cannot use it.

The regression line will go through the origin.

We need first to re-scale it in order to run regression without a constant.

We do not need to include constant only if there is more than 1 variable in the model.

3.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

How can you predict residuals in Stata?

reg y x, predict residuals

First regression command, then: "predict residuals, varname"

First regression command, then: "predict varname, res"

predict y x, residuals

4.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What is R squared?

Unexplained variation over explained variation.

Unexplained variation over total variation.

Explained variation over unexplained variation.

Explained variation over total variation.

5.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Choose the correct statement:

R-squared should be used to compare the models.

R squared can be interpreted as the percentage of variation of y that is explained by the model.

R squared can decrease if correlation between y and additional x is zero.

The lower the R-squared, the better the model is.

6.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Can R-squared adjusted be interpreted as percentage of explained variation?

No, never

Yes, always

Yes, if sample size is more than 1000

Yes, if there is just one variable on rhs

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