Top 150+ Solved Mathematical Economics MCQ Questions Answer
Q. a mathematical model assumes----- relationship between variables
a. inexact
b. exact
c. probable
d. none of the above
Q. a function that can be represented as straight line graphically is
a. non linear
b. linear
c. polynomial
d. quadratic
Q. A model in which regressand is logarithmic is called...............
a. regression through the origin
b. lin log model
c. log lin model
d. clrm
Q. confirmation or refutation of economic theories on the basis of sample evidence is based onthe branch of statistical theory called
a. statistical inference
b. standard deviation
c. arithmetic mean
d. regression analysis
Q. the term regression was first introduced by
a. irwing fisher
b. laspayer
c. francis galton
d. pearson
Q. Reciprocal and log lin models are ............. in variables.
a. non linear
b. linear
c. functional
d. dependent
Q. Statistical relationships assumes that variables are
a. random
b. stochastic
c. all of the above
d. none of the above
Q. A statistical relationship per say cannot logically imply
a. regression
b. causation
c. error
d. random
Q. The measure that analyses the degree of linear association between two variables is called
a. correlation coefficient
b. regression coefficient
c. significance level
d. testing of hypothesis
Q. Correlation analysis is concerned with
a. prediction of future value
b. prediction of average value
c. degree of association among variables
d. testing of hypothesis
Q. Correlation theory is based on the assumption of
a. randomness of variables
b. conditional mean
c. random errors
d. specification
Q. the law of universal regression was first introduced by
a. irwing fisher
b. laspayer
c. francis galton
d. pearson
Q. In ------ analysis there is no distinction between dependent and explanatory variables
a. regression
b. correlation
c. hypothesis testing
d. estimation
Q. If we are studying the dependence of a variable on a single explanatory variable, the analysisis called
a. two variable regression analysis
b. multiple regression analysis
c. single regression analysis
d. none of the above