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Multiple Regression Analysis Quiz

Authored by Sardor A'zam

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Used 10+ times

Multiple Regression Analysis Quiz
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15 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

The multiple regression model does not allow us to examine the effects of individual independent variables on the dependent variable.

True

False

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

When we use OLS method, both parameters and variables need to be linear, otherwise we cannot use OLS method.

True

False

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

The method of OLS can be applied to estimate the multiple regression model.

True

False

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

R-squared is the proportion of the sample variation in the dependent variable explained by the independent variables, and it serves as a goodness-of-fit measure.

True

False

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

It is important to put too much weight on the value of R-squared when evaluating econometric models.

True

False

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Under the first four Gauss-Markov assumptions (MLR.1 through MLR.4), the OLS estimators are unbiased. This implies that including an irrelevant variable in a model has no effect on the unbiasedness of the intercept and other slope estimators. On the other hand, omitting a relevant variable causes OLS to be biased.

False

True

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

We use t statistics to test hypotheses about a single parameter against one- or two-sided alternatives, using one- or two-tailed tests, respectively. The most common null hypothesis is H0: bj = 0, but we sometimes want to test other values of bj under H0.

False

True

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