Top Online MCQs Econometrics 1

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The Post is about Online MCQs Econometrics. The MCQS Econometrics Quiz contains 20 multiple-choice questions on heteroscedasticity, multicollinearity, auxiliary regression, multiple regression, autocorrelation, and regression diagnostics. Let us start with the Online MCQs Econometrics quiz.

MCQs about Multicollinearity, Dummy Variable, Selection of Variables, Error in Variables, Autocorrelation, Time Series, Heteroscedasticity, Simultaneous Equations, and Regression analysis

1. Which of the following statements is true about autocorrelation?

 
 
 
 

2. Choose a true statement about the Durbin-Watson test

 
 
 
 

3. Which one is not the rule of thumb?

 
 
 
 

4. Which one assumption is not related to error in explanatory variables?

 
 
 
 

5. Heteroscedasticity is more common in

 
 
 
 

6. Heteroscedasticity can be detected by plotting the estimated $\hat{u}_i^2$ against

 
 
 
 

7. For the presence and absence of first-order autocorrelation valid tests are

 
 
 
 

8. What type of regression models a categorical variable based on one or more independent variables?

 
 
 
 

9. What is a nonlinear function that connects or links a dependent variable to the independent variables mathematically?

 
 
 
 

10. Which of the following can indicate negative autocorrelation?

 
 
 
 

11. If a Durbin Watson statistic takes a value close to zero what will be the value of the first-order autocorrelation coefficient?

 
 
 
 

12. The AR(1) process is stationary if

 
 
 
 

13. What technique models a categorical variable based on one or more independent variables?

 
 
 
 

14. In a linear regression model, what is the area surrounding the regression line that describes the uncertainty around the predicted outcome at every value of X?

 
 
 
 

15. The value of Durbin Watson $d$ lies between

 
 
 
 

16. Autocorrelation may occur due to

 
 
 
 

17. Which of the following actions does not make sense to struggle against multicollinearity?

 
 
 
 

18. The _____ states that no two independent variables ($X_i$ and $X_j$) can be highly correlated with each other.

 
 
 
 

19. When measurement errors are present in the explanatory variable(s) they make

 
 
 
 

20. In a regression model with three explanatory variables, there will be _______ auxiliary regressions

 
 
 
 

Online MCQs Econometrics with Answers

Online MCQs Econometrics Quiz
  • In a regression model with three explanatory variables, there will be ————– auxiliary regressions
  • The AR(1) process is stationary if
  • The value of Durbin Watson $d$ lies between
  • Which of the following actions does not make sense to struggle against multicollinearity?
  • Autocorrelation may occur due to
  • Which of the following can indicate negative autocorrelation?
  • Which one is not the rule of thumb?
  • Heteroscedasticity can be detected by plotting the estimated $\hat{u}_i^2$ against
  • If a Durbin Watson statistic takes a value close to zero what will be the value of the first-order autocorrelation coefficient?
  • Which of the following statements is true about autocorrelation?
  • When measurement errors are present in the explanatory variable(s) they make
  • Heteroscedasticity is more common in
  • Which one assumption is not related to error in explanatory variables?
  • For the presence and absence of first-order autocorrelation valid tests are
  • Choose a true statement about the Durbin-Watson test
  • What technique models a categorical variable based on one or more independent variables?
  • What is a nonlinear function that connects or links a dependent variable to the independent variables mathematically?
  • What type of regression models a categorical variable based on one or more independent variables?
  • In a linear regression model, what is the area surrounding the regression line that describes the uncertainty around the predicted outcome at every value of X?
  • The ————- states that no two independent variables ($X_i$ and $X_j$) can be highly correlated with each other.
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Important Random Variables MCQs 5

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The post is about the Random Variables MCQs Test. There are 20 multiple-choice questions covering topics about the basics of random variables, types of random variables, dependent and independent variables, expectation and variance of random variables, and joint density of random variables. Let us start with the Random Variables MCQs Quiz.

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Random Variables MCQs

Online Random Variables MCQs
  • $E(X-\mu)$ = ?
  • If $E(X) = 1.6$ then $E(5X+10) =$?
  • If $X$ is a random variable then $E(4X + 2)$ is
  • If $E(X) = 3$ then what will be $E(a+X)$, where $a$ is a constant whose value is 2
  • If $P(X=10) = \frac{1}{10}$, then $E(X)=$?
  • If $X$ and $Y$ are random variables then $E(X-Y)$ is
  • If $X$ and $Y$ are two independent variables then $E(XY)=$
  • If $X$ and $Y$ are independent random variables then $SD(X-Y)$ will be
  • If $X$ is a random variable and $a$ and $b$ are constants, then $SD(a-bX)$ is
  • If $a$ is constant then $Var(a)$ is
  • If $Var(X) = 8$ then $Var(X+3)= $
  • If $Var(X) = 5$ then $Var(2X + 5) $ =
  • If $Var(X) = 2$ and $Var(Y) = 5$, and if $X$ and $Y$ are independent variables, then $Var(2X – Y)=$?
  • If $X_1, X_2, \cdots, X_n$ is the joint density of $n$ random variables, say $f(X_1, X_2, \cdots, X_n;\theta)$ which is considered to be a function of $\theta$. Then $L(\theta; X_1,X_2,\cdots,X_n)$ is called:
  • A discrete variable is a variable that can assume
  • If $X$ is a discrete random variable then the function $f(x)$ is
  • If $X$ and $Y$ are random variable then $E(X+y)$ is
  • If $X$ and $Y$ are independent random variables then $E(XY)$ is
  • If $X$ and $Y$ are independent random variables then $Var(x-y)$ is
  • If $X$ is a random variable then $Var(2-3X)$ is
Online Random Variables MCQs Quiz

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Important Random Variable MCQ Questions 4

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The post is about Random Variable MCQ Questions. There are 20 multiple-choice questions in the quiz. The quiz covers topics related to the generation of random numbers, types of random variables, examples of random variables, Expected value and variance of random variables, and distribution of random variables. Let us start with Random Variable MCQ questions.

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Online Random Variable MCQ Questions

Online Random Variable MCQ Questions with Answers
  • Random numbers are generated by some
  • In generating random numbers there are ———- number of assumptions to follow
  • In generating random numbers the probability of each digit/number is
  • In a family with two children, how many are girls there
  • A discrete variable is also called
  • Discrete data is usually generated by the process
  • The sum of dots when two dice are rolled is an example of
  • The number of deaths in a road accident is an example of ———- variable
  • The number of children in a family is an example of ———- variable
  • A variable which can assume all values in the range is called
  • Usually, measurements give rise to ———– data
  • Continuous variables can assume ———– values
  • The amount of milk produced by a cow is ———- variable
  • A variable that takes measurable values is called a
  • The set of all possible outcomes of a random experiment is called
  • A Chi-Square random variable can assume the value
  • The number of automobile accidents per year in Multan city is an example of
  • Which of the following is a characteristic of the probability distribution of a random variable?
  • If $X$ and $Y$ are random variables, then $E(X-Y)$ is equal to
  • If $X$ and $Y$ are independent random variables, then $Var(X-Y)$ is equal to
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Best MCQs Random Variable Quiz 3

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The post is about Random Variable Quiz. There are 20 multiple-choice questions covering topics related to the basics of random variables, types of random variables, dependent and independent random variables, distribution of random variables, and mean and variance of random variables. Let us start with MCQs Random Variable Quiz.

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MCQs Random Variable Quiz

MCQs Random Variable Quiz with Answers
  • If $X$ and $Y$ are independent random variables then $E(XY)$ is equal to
  • If $X$ and $Y$ are independent random variables then $VAR(X-Y)$ is equal to
  • If $X$ is a random variables, $a$ and $b$ are constants then $E(aX+b)$ is equal to
  • If $X$ is a random varaible, then $Var(2-3X)$ is
  • $Var(2X+5) =$ ?
  • $Var(X+4)=$?
  • $Var(X/3)=$?
  • If $Var(X) = 4$ then $Var(3X+5)$ is equal to
  • If $SD(X) = 3$ then $SD(X+4/6)$ is
  • If $X$ and $Y$ are independent then $Var(X-Y)$ is
  • $Var(3X – 4Y)=$?
  • A continuous random variable is a random variable that can
  • For a continuous random variable, the area under the probability distribution curve between any two points is always
  • The probability that a continuous random variable assumes a single value is
  • For a continuous random variable $X$, the total probability of the mutually exclusive events (intervals) within which $X$ can assume a value is
  • If $X\sim N(\mu, \sigma^2)$ where $a$ and $b$ are real numbers, then variance of $(aX+b)$ is
  • For a normal distribution, the $Z$ value for an $X$ value is to the right of the mean is always
  • If $X$ follows t-distribution with $v$ degrees of freedom then the distribution of $x^2$ is
  • The distribution function $F(x)$ is equal to
  • If $X$ is a continuous random variable, then function $f(x)$ is
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