heteroskadasicty Flashcards

1
Q

Multicollinearity occurs when:
a. An independent variable in a multiple regression model can be linearly
predicted by the dependent variable.
b. An independent variable in a multiple regression model can be linearly
predicted by another independent variable.
c. An independent variable in a multiple regression cannot be linearly predicted
by another dependent variable.
d. An independent variable in a multiple regression model cannot be linearly
predicted by another independent variable.

A

b

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2
Q

For data with a heteroskedasticity problem, the estimated parameter coefficients
will be wrong if we do not correct for the heteroskedasticity.
a. True
b. Fals3

A

b

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3
Q

Which of the following occurs when introducing heteroskedasticity?
A. The standard errors expand making the t-statistic increase.
B. The variance increases, making the standard errors decrease.
C. The t-statistics decreases, decreasing the p-value.
D. The standard errors expand making the t-statistic decrease.

A

d

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4
Q

Heteroskedasticity is when your X variable is correlated with your Y variable.
a. TRUE
b. FALSE

A

b

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5
Q

Suppose we found out that there is a heteroskedasticity problem that was not
corrected. Are we able to tell whether the coefficient for luxury is statistically
significant without correcting the standard errors?
a. Yes, the p-value is zero before correcting the standard errors, so it should be
even lower after correcting the standard errors.
b. Yes, the p-value will increase, but not enough to make the coefficient
insignificant.
c. No, we cannot know how much the p-value will change without running the
corrected regression.
d. No, the coefficient will now be insignificant after correcting the standard error

A

c

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6
Q

Heteroskedasticity causes the coefficient estimates to
A. Increase
B. Decrease
C. Remain Unchanged
D. Become zero

A

c

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7
Q

Heteroskedasticity causes the standard errors to
A. Increase
B. Decrease
C. Remain Unchanged
D. Become zero

A

a

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8
Q

Accounting for heteroskedasticity causes the t-statistic to
A. Increase
B. Decrease
C. Remain Unchanged
D. Become zero

A

b

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