Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

QUESTION 28 When two or more explanatory variables are highly correlated, the co

ID: 1174265 • Letter: Q

Question

QUESTION 28

When two or more explanatory variables are highly correlated, the condition is known as

serial correlation

multiple correlation

spurious correlation

multicollinearity

QUESTION 29

When a multiple regression equation is estimated, the F-test indicates

how many variables were statistically significant

how many variables were not statistically significant

if the estimated equation was statistically significant

if the intercept was statistically significant

QUESTION 30

Suppose a demand equation was estimated using the Regression technique. The explanatory variables included in the equation were price of own good, price of substitute good, income of consumers and expected future price. What test will be used to test if each of the explanatory variables were statistically significant?

the F-test

the correlation test

the t-test

the multicollinearity test

QUESTION 31

Which of the following is an example of Lagging Economic Indicator

taxes not paid

high accumulation of credit card debt

increased filing of bankruptcy

all of the above


QUESTION 32

Compared to competition, a monopolist

produces more and charges a higher price

produces less and charges a lower price

produces less and charges a higher price

may produce more and may charge a higher price

QUESTION 33

Most public utilities in our economy enjoy a good degree of monopoly because of

government regulation

decreasing returns to scale

increasing returns to scale

constant returns to scale

serial correlation

multiple correlation

spurious correlation

multicollinearity

Explanation / Answer

Q28) option d - multicollinearity, option a is wrong bcoz correlation among successive error terms is autocorrelation

Q29)option c , F test is used for the joint significance of all the explanatory variables, thus gives significance of the overall regression analysis.

Q30) option c) t test

Q31) option d

Lagging indicators are typically “output” oriented, easy to measure but hard to improve or influence

Q32)option c

Q33( option c, bcoz of IRS, AC falls as level of production rises, & so advantageous when only one firm exists, like railways

Hire Me For All Your Tutoring Needs
Integrity-first tutoring: clear explanations, guidance, and feedback.
Drop an Email at
drjack9650@gmail.com
Chat Now And Get Quote