Mathematical Economics Set 3

Bachelor of Arts in Economics (BA Economics)

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This set of Mathematical Economics Multiple Choice Questions & Answers (MCQs) focuses on Mathematical Economics Set 3

Q1 | The set of all possible outcomes of an experiment or measurement is known as
  • population
  • census
  • sample
  • variable
Answer: population
Q2 | conditional mean of Y given X value is denoted as
  • con y
  • e(y/x)
  • prob (y/x)
  • e(x/y)
Answer: e(y/x)
Q3 | An expected value is the same as
  • average value
  • standard deviation
  • dispersion
  • none of the above
Answer: average value
Q4 | The locus of points conditional means of the dependent variable for the fixed values of theexplanatory variables is
  • venn diagram
  • lorenz curve
  • probability curve
  • population regression curve
Answer: population regression curve
Q5 | The regression line or curve passes through
  • origin
  • vertical axis
  • horizontal axis
  • conditional means
Answer: conditional means
Q6 | E (Y/Xi) = f (Xi) is known as
  • population regression function
  • sample regression function
  • expected average
  • none of the above
Answer: population regression function
Q7 | In the regression function E(Y/Xi)=β1+β2Xi, regression coefficients are
  • y and x
  • y and β1
  • β1and β2 d β2 an
  • xi
Answer: β1and β2 d β2 an
Q8 | the regression function E(Y/Xi)=β1+β2Xi is a
  • linear regression function
  • sample regression function
  • non linear regression function
  • log linear regression function
Answer: linear regression function
Q9 | in the regression function E(Y/Xi)=β1+β2Xi , β1 is
  • intercept coefficient
  • slope coefficient
  • variable
  • average value
Answer: intercept coefficient
Q10 | in the regression function E(Y/Xi)=β1+β2Xi , β2 is
  • aintercept coefficient
  • slope coefficient
  • variable
  • average value
Answer: slope coefficient
Q11 | the regression function E(Y/Xi)=β1+β2Xi2 is linear in
  • variables
  • parameters
  • coefficients
  • none of the above
Answer: parameters
Q12 | in the regression function E (Y⁄X ) = β + β X is linear in
  • variables
  • parameters
  • coefficients
  • none of the above
Answer: variables
Q13 | in the function Yi= β1+β2Xi+ui, the term ui refers to
  • variable
  • parameters
  • coefficient
  • stochastic error term
Answer: stochastic error term
Q14 | in the function Yi= β1+β2Xi+ui, the term ui is ------- in nature
  • random
  • nonsystematic
  • all of the above
  • none of the above
Answer: all of the above
Q15 | “the descriptions be kept as simple as possible until proved inadequate” corresponds to
  • occam’s razor
  • index numbers
  • regression
  • correlation
Answer: occam’s razor
Q16 | The rule or formula that tells how to estimate the population parameter from the sampleinformation is called
  • estimate
  • estimator
  • population
  • coefficient
Answer: estimator
Q17 | The function Y = β + β X is a
  • sample regression function
  • non linear regression function
  • log linear regression function
  • population regression function
Answer: sample regression function
Q18 | the most popular method of constructing sample regression function in the regressionanalysis is
  • method of ols
  • generalised squares
  • ordinary regression method
  • none of the above
Answer: method of ols
Q19 | the method of ordinary least squares is attributed to
  • pearson
  • pashee
  • fisher
  • carl friedrich gauss
Answer: carl friedrich gauss
Q20 | If each estimator provides only a single value of the relevant population parameter, it is
  • point estimator
  • interval estimator
  • class estimator
  • single estimator
Answer: point estimator
Q21 | If each estimator provides a range of possible values relevant population parameter, it is
  • point estimator
  • interval estimator
  • class estimator
  • single estimator
Answer: interval estimator
Q22 | The sample regression line obtained through the OLS method passes through
  • sample means
  • sample standard deviation
  • origin
  • vertical axis
Answer: sample means
Q23 | The Gaussian standard classical linear regression model assumes------- assumptions
  • seven
  • ten
  • five
  • eight
Answer: ten
Q24 | Which is the assumption of Gaussian standard classical linear regression model
  • linear regression model
  • x values are fixed
  • zero mean values for disturbances
  • all of the above
Answer: all of the above
Q25 | The numerical value obtained by the estimator in an application is known as
  • estimate
  • estimator
  • population
  • coefficient
Answer: estimate
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