Consider the following MLR equation: y=0+1x1+2x2+uy=0+1x1+2x2+u . What does 11 imply?

SELECT ALL CORRECT OPTIONS

OPTION A

11 measures the ceteris paribus effect of x1x1 on x2x2

OPTION B

11 measures the ceteris paribus effect of yy on x1x1

OPTION C

11 measures the ceteris paribus effect of x1x1 on uu

OPTION D

11 measures the ceteris paribus effect of x1x1 on yy

QUESTION 3 OF 15

Which of the following can cause OLS estimators to be biased?

SELECT ALL CORRECT OPTIONS

OPTION A

heteroskedasticity

OPTION B

sample correlation of 0.91 between two control variables that are both included in the model

OPTION C

omitting a relevant variable

OPTION D

all of the above

QUESTION 4 OF 15

The term _____ refers to the problem of small sample size.

SELECT ALL CORRECT OPTIONS

OPTION A

multicollinearity

OPTION B

homoskedasticity

OPTION C

micronumerosity

OPTION D

heteroskedasticity

QUESTION 5 OF 15

Sampling variance of OLS estimator in a bivariate regression model is directly affected by

SELECT ALL CORRECT OPTIONS

OPTION A

Coefficient of determination from the regression of yy on xx

OPTION B

Coefficient of determination from the regression of one explanatory variable on another

OPTION C

Number of explanatory variables

OPTION D

None of the above

QUESTION 6 OF 15

High (but not perfect) correlation between two or more independent variables is called _____.

SELECT ALL CORRECT OPTIONS

OPTION A

heteroskedasticty

OPTION B

homoskedasticty

OPTION C

micronumerosity

OPTION D

multicollinearity

QUESTION 7 OF 15

If the explained sum of squares is 55 and the total sum of squares is 79, what is the residual sum of squares?

SELECT ALL CORRECT OPTIONS

OPTION A

25

OPTION B

24

OPTION C

-24

OPTION D

134

QUESTION 8 OF 15

Find the degrees of freedom in a regression model that has 120 observations and 7 independent variables.

SELECT ALL CORRECT OPTIONS

OPTION A

120

OPTION B

113

OPTION C

112

OPTION D

115

QUESTION 9 OF 15

True or False: If xi=xxi=x for all values of xx , we fail the identification condition for getting an estimator of the slope parameter in SLR.

True

False

QUESTION 10 OF 15

True or False: The following model relating consumption and income, log(cons)=0+1log(inc)+2log(inc2)+ulog(cons)=0+1log(inc)+2log(inc2)+u , violates the assumption MLR.3.

True

False

QUESTION 11 OF 15

True or False: The assumption that errors are normally distributed is needed for inference i.e. hypothesis testing.

True

False

QUESTION 12 OF 15

True or False: The problem of endogeneity in a MLR model means a violation of the assumption of no exact linear relationship between explanatory variables.

True

False

QUESTION 13 OF 15

True or False: Overspecifying the model has no effect on unbiasedness of OLS estimators.

True

False

QUESTION 14 OF 15

True or False: Given that all Gauss Markov assumptions hold, the sample average of the fitted values y^iy^i is the same as the sample average of the true yiyi in SLR.

True

False

QUESTION 15 OF 15

True or False: In a study relating college GPA to time spent in various activities, students are asked how many hours they spend each week in three activities: studying, sleeping, and leisure. Any activity is put into one of the three categories, so that for each student, the sum of hours in the three activities must be 168. The model is as follows: colGPA=0+1study+2sleep+3leisure+ucolGPA=0+1study+2sleep+3leisure+u . In this model, it makes sense to hold sleep, and study fixed, while changing leisure to find the effect on colGPA.

True

False

I JUST NEED ONE CORRECT OPTION URGENT FOR ALL THE ANSWERS ITS MCQ