Question 1

Correlation analysis is concerned with

Accepted Answer

A) prediction of future value 
B) prediction of average value 
C) degree of association among variables 
D) testing of hypothesis 
A) prediction of future value 
B) prediction of average value 
C) degree of association among variables 
D) testing of hypothesis C

Question 2

a mathematical model assumes----- relationship between variables

Accepted Answer

A) inexact 
B) exact 
C) probable 
D) none of the above 
A) inexact 
B) exact 
C) probable 
D) none of the above B

Question 3

Statistical relationships assumes that variables are

Accepted Answer

A) random 
B) stochastic 
C) all of the above 
D) none of the above 
A) random 
B) stochastic 
C) all of the above 
D) none of the above C

Question 4

The measure that analyses the degree of linear association between two variables is called

Accepted Answer

A) correlation coefficient 
B) regression coefficient 
C) significance level 
D) testing of hypothesis 
A) correlation coefficient 
B) regression coefficient 
C) significance level 
D) testing of hypothesis

Question 5

Reciprocal and log lin models are ............. in variables.

Accepted Answer

A) non linear 
B) linear 
C) functional 
D) dependent 
A) non linear 
B) linear 
C) functional 
D) dependent

Question 6

the function Y=?1+?2X+u is an example of

Accepted Answer

A) non linear regression model 
B) linear regression model 
C) quadratic regression model 
D) none of the above 
A) non linear regression model 
B) linear regression model 
C) quadratic regression model 
D) none of the above

Question 7

confirmation or refutation of economic theories on the basis of sample evidence is based on the branch of statistical theory called

Accepted Answer

A) statistical inference 
B) standard deviation 
C) arithmetic mean 
D) regression analysis 
A) statistical inference 
B) standard deviation 
C) arithmetic mean 
D) regression analysis

Question 8

Correlation theory is based on the assumption of

Accepted Answer

A) randomness of variables 
B) conditional mean 
C) random errors 
D) specification 
A) randomness of variables 
B) conditional mean 
C) random errors 
D) specification

Question 9

The term "random" is synonym for the term

Accepted Answer

A) stochastic 
B) variable 
C) error 
D) regression 
A) stochastic 
B) variable 
C) error 
D) regression

Question 10

In ------ analysis there is no distinction between dependent and explanatory variables

Accepted Answer

A) regression 
B) correlation 
C) hypothesis testing 
D) estimation 
A) regression 
B) correlation 
C) hypothesis testing 
D) estimation

Question 11

In the Keynesian linear consumption function Y=?1+?2X, X represents

Accepted Answer

A) income 
B) consumption expenditure 
C) output 
D) price 
A) income 
B) consumption expenditure 
C) output 
D) price

Question 12

a function that can be represented as straight line graphically is

Accepted Answer

A) non linear 
B) linear 
C) polynomial 
D) quadratic 
A) non linear 
B) linear 
C) polynomial 
D) quadratic

Question 13

The combination of time series and cross sectional data is known as

Accepted Answer

A) pooled data 
B) panel data 
C) longitudinal data 
D) none of the above 
A) pooled data 
B) panel data 
C) longitudinal data 
D) none of the above

Question 14

In the Keynesian linear consumption function Y=?1+?2X, the independent variable is

Accepted Answer

A) ?1 
B) . x 
C) y 
D) ?2 
A) ?1 
B) . x 
C) y 
D) ?2

Question 15

A model in which regressand is logarithmic is called...............

Accepted Answer

A) regression through the origin 
B) lin log model 
C) log lin model 
D) clrm 
A) regression through the origin 
B) lin log model 
C) log lin model 
D) clrm

Question 16

If we are studying the dependence of a variable on more than one explanatory variable, the analysis is called

Accepted Answer

A) two variable regression analysis 
B) multiple regression analysis 
C) single regression analysis 
D) none of the above 
A) two variable regression analysis 
B) multiple regression analysis 
C) single regression analysis 
D) none of the above

Question 17

the law of universal regression was first introduced by

Accepted Answer

A) irwing fisher 
B) laspayer 
C) francis galton 
D) pearson 
A) irwing fisher 
B) laspayer 
C) francis galton 
D) pearson

Question 18

the term regression was first introduced by

Accepted Answer

A) irwing fisher 
B) laspayer 
C) francis galton 
D) pearson 
A) irwing fisher 
B) laspayer 
C) francis galton 
D) pearson

Question 19

the function Y=?1+?2X+u is an example of

Accepted Answer

A) linear regression model 
B) econometric model 
C) all of the above 
D) none of the above 
A) linear regression model 
B) econometric model 
C) all of the above 
D) none of the above

Question 20

If the data is collected over a period of time, it is called

Accepted Answer

A) time series data 
B) cross section data 
C) pooled data 
D) none of the above 
A) time series data 
B) cross section data 
C) pooled data 
D) none of the above

Correlation analysis is concerned with

a mathematical model assumes----- relationship between variables

Statistical relationships assumes that variables are

The measure that analyses the degree of linear association between two variables is called

Reciprocal and log lin models are ............. in variables.

the function Y=?1+?2X+u is an example of

confirmation or refutation of economic theories on the basis of sample evidence is based on the branch of statistical theory called

Correlation theory is based on the assumption of

The term "random" is synonym for the term

In ------ analysis there is no distinction between dependent and explanatory variables

In the Keynesian linear consumption function Y=?1+?2X, X represents

a function that can be represented as straight line graphically is

The combination of time series and cross sectional data is known as

In the Keynesian linear consumption function Y=?1+?2X, the independent variable is

A model in which regressand is logarithmic is called...............

If we are studying the dependence of a variable on more than one explanatory variable, the analysis is called

the law of universal regression was first introduced by

the term regression was first introduced by

the function Y=?1+?2X+u is an example of

If the data is collected over a period of time, it is called

Econometrics and Keynesian Linear Consumption Function

Regression Analysis and Estimation

Econometrics and Regression Analysis

Economics Functions and Elasticities

Economics and Linear Programming: Understanding Concepts and Terminologies

Market Structures and Pricing Strategies

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Exam 2: Understanding Statistical Relationships and Models in Economics

Correlation analysis is concerned with

a mathematical model assumes----- relationship between variables

Statistical relationships assumes that variables are

The measure that analyses the degree of linear association between two variables is called

Reciprocal and log lin models are ............. in variables.

the function Y=?1+?2X+u is an example of

confirmation or refutation of economic theories on the basis of sample evidence is based on the branch of statistical theory called

Correlation theory is based on the assumption of

The term "random" is synonym for the term

In ------ analysis there is no distinction between dependent and explanatory variables

In the Keynesian linear consumption function Y=?1+?2X, X represents

a function that can be represented as straight line graphically is

The combination of time series and cross sectional data is known as

In the Keynesian linear consumption function Y=?1+?2X, the independent variable is

A model in which regressand is logarithmic is called...............

If we are studying the dependence of a variable on more than one explanatory variable, the analysis is called

the law of universal regression was first introduced by

the term regression was first introduced by

the function Y=?1+?2X+u is an example of

If the data is collected over a period of time, it is called

Econometrics and Keynesian Linear Consumption Function

Regression Analysis and Estimation

Econometrics and Regression Analysis

Economics Functions and Elasticities

Economics and Linear Programming: Understanding Concepts and Terminologies

Market Structures and Pricing Strategies

Filters