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Econometrics Synergy Tests (answers for 73/100 points)

Econometrics Synergy Tests (answers for 73/100 points)

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Econometrics Synergy (73/100 answers) Tests. 30 questions. Rating Good

Using the test ..., you can find the presence of autocorrelation between the regression residuals in the follower observations

White

Linga-Box

Darbin-Watson

Breusha-Godfrey

The Dickey-Fuller test has ... varieties

Two

Three

Four

Autocorrelation happens ...

explanatory and casual

simple and complex

positive and negative

random and non-random

Econometric modeling consists of ... main stages

three

four

six

seven

It is not true that time series models are related ...

autoregressive models

moving average models

regression models

In regression analysis, with a correlation between variables, each value of one variable corresponds to a certain ... to another variable

expected value

value

distribution

A structural parameter is called overidentifiable if ...

indirect least squares method gives several estimates

its value cannot be obtained, even knowing the values ​​of the parameters of the reduced form

it can be unambiguously estimated using the indirect least squares method

The result of the functioning of the analyzed economic system characterizes ... the function

dependent

Covariance is a measure of ...

the degree to which the values ​​of two variables are scattered relative to their mathematical expectations

the relationship of these variables

relationship between linear stochastic and variables

tightness of the linear stochastic relationship between the variables

To reflect the effect on the endogenous variable y (Y) of the accompanying qualitative variables, the regression model introduces ... variables

fake

fake

bogus

If the value of the structural parameter cannot be obtained, even knowing the values ​​of the parameters of the reduced form, then this is ... a parameter

unidentifiable

If the correlation coefficient takes on a value greater than zero, then ...

the relationship between variables is called direct

the relationship between variables is called feedback

no linear correlation

correlation becomes functional

There are random variables ...

discrete and continuous

strictly stationary and weakly stationary

positive and negative

simple and complex

The measure of the quality of the regression equation is the coefficient ...

determination

correlations

autocorrelation

elasticity

An ordered set x = (x1, x2, ... xn) of random variables □ is ... a random variable

multidimensional

Efficient estimation of the parameters of the classical linear regression model - estimation ...

the mathematical expectation of which is zero

whose variance is zero

having the least depression of all possible unbiased estimates

For the analysis of time series, in particular, a moving average model of order (q) (model MA (q)) is used, in which ...

the current value of the modeled variable is set by a function of the past values ​​of the variable itself

combines autoregressive processes with moving average processes

the simulated value is given by a function of past errors

The economic model looks like ...

y = f (x)

y = a bx b2x2

y = f (x) e

y = f (a bx b2x2)

The average coefficient of elasticity shows ...

percentage change in the dependent variable for a one percent change in the independent variable

average change in the result with a change in factor by one unit

change the result with a change of one unit in the independent variable

The Darbin-Watson test is used for ...

checking for autocorrelation between regression residuals in sequential observations

assessment of structural factors

checking the independence of the residuals of the time series model

determining the trend in the time series

In regression analysis, for ... dependence, each value of one variable corresponds to a certain distribution of another variable

functional

statistical

correlation

Additional information

It is possible to establish the fact of the presence (absence) of a relationship between variables, check the statistical significance of this relationship, and also predict the unknown values ​​of the endogenous variable using the specified values ​​of the exogenous variables using ...

regression equations

least squares method

correlation coefficient

Aytket's theorems

Goldfeld - Quandt test

It is not true that the test is used to test the econometric model for homoscedasticity ...

Goldfeld-Quandt

Darbin-Watson

Glazer

White

An exogenous variable can be ...

positive and negative

discrete and continuous

random and non-random

To test the significance of individual multiple regression coefficients, the ...

Fisher

Darbin-Watson

Foster-Stewart

Student's

Classic examples of systems of simultaneous equations, such as the Kuinxian income generation model and the demand generation model, refer to ...

indirect least squares

two-step least squares

three-step least squares

In an econometric model, the dependent variable is split into two parts - ...

explanatory and casual

positive and negative

simple and complex

Boxing and Jenkins suggested ...

a systematic approach to building ARMA models

stationary time series "White noise"

indirect square method

The generalized least squares method is applied to eliminate ...

autocorrelation

residual depression bias

heteroscedasticity

the nature of the dynamics of the process

A structural parameter is called identifiable if ...

indirect least squares gives multiple estimates

its value cannot be obtained, even knowing the values ​​of the parameters of the reduced form

it can be unambiguously estimated using the indirect least squares method