Question 1

Homoscedasticity means------ for disturbances
A)equal mean
B)equal variance
C)zero mean
D)none of the above

Accepted Answer

Homoscedasticity refers to the condition in which the variance of the error terms (disturbances) in a regression model is constant across all levels of the independent variable. This means that the spread or scatter of the residuals (errors) is the same no matter the value of the independent variable(s).

Question 2

The literal meaning of econometrics is
A)estimation
B)economic measurement
C)forecasting
D)testing

Accepted Answer

Econometrics is derived from the combination of economics and mathematics, specifically focusing on the measurement and quantitative analysis of economic phenomena. Hence, the literal meaning is "economic measurement."

Question 3

Economic theory makes statements that are mostly
A)quantitative
B)qualitative
C)positive
D)none of the above

Accepted Answer

Economic theory often makes qualitative statements, which describe general relationships and outcomes without specifying exact numerical values. These statements focus on the direction or nature of economic phenomena rather than precise measurements.

Question 4

In the function, Q= ?+?P, the intercept coefficient is
A)?
B)?
C)p
D)q

Accepted Answer

The answer of In the function, Q= ?+?P, the intercept...

Question 5

Heteroscedasticity implies
A)equal spread
B)unequal spread
C)equal mean
D)equal variance

Accepted Answer

Heteroscedasticity refers to the condition in which the variability of a variable is unequal across the range of values of a second variable that predicts it. This means there is an unequal spread in the variability of the variable of interest.

Question 6

Given any two X values the classical linear regression model assumes the correlation between the disturbances as
A)one
B)infinity
C)negative
D)zero

Accepted Answer

The classical linear regression model assumes that the correlation between the disturbances (errors) for any two observations is zero, indicating that the errors are uncorrelated with each other. This assumption is crucial for the standard statistical properties of the estimators to hold.

Question 7

which is the dependent variable in the Keynesian consumption function
A)income
B)consumption
C)price
D)output

Accepted Answer

In the Keynesian consumption function, consumption is the dependent variable because it is determined by the level of income (which is the independent variable).

Question 8

in the regression context, the OLS estimators are BLUE according to
A)central limit theorem
B)gauss markov theorem
C)young theorem
D)fisher's theorem

Accepted Answer

The Gauss-Markov theorem states that in a linear regression model where the errors have expectation zero, are uncorrelated, and have equal variances, the best linear unbiased estimators (BLUE) of the coefficients are given by the ordinary least squares (OLS) estimators.

Question 9

The summary measure used to measure the goodness of fit of a regression line
A)coefficient of determination
B)coefficient of variation
C)standard error d standar
D)deviation

Accepted Answer

The coefficient of determination, often denoted as R^2, measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s) in a regression model, making it a key indicator of the goodness of fit of the model.

Question 10

The numerical value of coefficient of determination lies between
A)-1 and 1
B)0 and 1
C)-? to +?
D)-? to 1

Accepted Answer

The coefficient of determination, denoted as R^2, measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s), and its value ranges from 0 to 1.

Question 11

The classical theory of statistical inference consists of
A)estimation and hypothesis testing
B)regression and correlation
C)averages and dispersion
D)none of the above

Accepted Answer

The classical theory of statistical inference primarily focuses on estimation (determining the values of parameters based on sample data) and hypothesis testing (making decisions or inferences about population parameters based on sample data).

Question 12

The rejecting of a true hypothesis is called
A)type i error
B)type ii error
C)standard error
D)point estimation

Accepted Answer

A Type I error occurs when a true null hypothesis is incorrectly rejected.

Question 13

Which of the following is used to measure the degree of association between two variables
A)coefficient of determination
B)coefficient of correlation
C)standard error d standar
D)deviation

Accepted Answer

The coefficient of correlation is specifically used to measure the degree of association between two variables, indicating how strongly they are related.

Question 14

The accepting of a false hypothesis is called
A)type i error
B)type ii error
C)standard error
D)point estimation

Accepted Answer

The answer of The accepting of a false hypothesis is...

Question 15

The larger the standard error, the ----- the width of the confidence interval
A)smaller
B)larger
C)infinity
D)cannot calculate

Accepted Answer

The standard error measures the dispersion of sample means around the population mean. A larger standard error indicates greater variability, leading to a wider confidence interval to capture the true population parameter with a given level of confidence.

Question 16

-? represents:
A)Diminishing returns to scale
B)Increasing returns to scale
C)Constant returns to scale
D)None of the above

Accepted Answer

-? represents constant returns to scale, indicating that output increases by the same proportion as the increase in inputs.

Question 17

_____ is the best criteria to judge the validity of a model :
A)Assumptions
B)Information it provides
C)Its simplicity
D)predictive power

Accepted Answer

Predictive power is the best criteria to judge the validity of a model because it indicates how well the model can forecast outcomes on new, unseen data, which is a fundamental goal of most modeling efforts.

Question 18

The given function f (x) = ax + b, is an example of ____ function:
A)quadratic
B)polynomial
C)linear
D)rational

Accepted Answer

The given function f(x) = ax + b is a linear function because it is a first-degree polynomial.

Question 19

The given function f (x) = ax2 + bx + c , is an example of ____ function:
A)quadratic
B)polynomial
C)linear
D)rational

Accepted Answer

The given function is a quadratic function because it is a polynomial of degree 2.

Question 20

For a utility function u = xy + 3x + 4y, marginal utility of good x is:
A)xy + 3x + 4y
B)y + 3
C)x + 4
D)y + 3x

Accepted Answer

Marginal utility of good x is found by taking the partial derivative of the utility function with respect to x, which in this case is ∂u/∂x = y + 3.

Quiz 4: Econometrics and Regression Analysis

Homoscedasticity means------ for disturbances

The literal meaning of econometrics is

Economic theory makes statements that are mostly

In the function, Q= ?+?P, the intercept coefficient is

Heteroscedasticity implies

Given any two X values the classical linear regression model assumes the correlation between the disturbances as

which is the dependent variable in the Keynesian consumption function

in the regression context, the OLS estimators are BLUE according to

The summary measure used to measure the goodness of fit of a regression line

The numerical value of coefficient of determination lies between

The classical theory of statistical inference consists of

The rejecting of a true hypothesis is called

Which of the following is used to measure the degree of association between two variables

The accepting of a false hypothesis is called

The larger the standard error, the ----- the width of the confidence interval

-? represents:

_____ is the best criteria to judge the validity of a model :

The given function f (x) = ax + b, is an example of ____ function:

The given function f (x) = ax2 + bx + c , is an example of ____ function:

For a utility function u = xy + 3x + 4y, marginal utility of good x is: