WorksheetsEconometric
Total questions: 50
Worksheet time: 28mins
Econometrics is a combination of
Economics + statistics
Economics + mathematics
Economics+Mathematics + statistics
None of the above
Econometrics is pioneered by...
Gold Berger
Jan Tibergen
Samuelson
Ragnar Frisch
Econometrics is helps for policy making.
Strongly agree
Agree
Disagree
No one above
TOOL OF ECONOMETRICS ...
Correlation
Substraction
Regression
Addition
Data collected for a variable over a period of time is called:
Panel data
Pooled data
Time series data
Cross-sectional data
In an econometric model if relevant variables are excluded and irrelevant variables are included then it is said to be a ...
simultaneity bias
specification unbias
specification bias
none of the above
............. is a set of elements taken from a population according to certain rules.
population
sample
statistic
element
Data collected at a point in time is called...
Cross- sectional data
Time series data
Pooled data
Panel data
Regression analysis is concerned with estimating...
The mean value of the dependent variable
The mean value of the explanatory variable
The mean value of the correlation coefficient
The mean value of the fixed variable
The dependent variable in regression analysis is assumed to be
known values
constant
non Stochastic
stochastic
y= bo + b1x or y = a + bx, the regression line…
Scatterplot
Linear Model (line of best fit)
Correlation Coefficient
Re-expression or transformation
In regression models, errors are ___.
mistakes
the other factors affecting Y (T)
the explained factors
the explanatory factors
the explained factors
the explanatory factors
mistakes
the other factors affecting Y
Regression analysis is concerned with the study of the dependence of:
Two known variables
Explanatory variables on one or more dependent variables
Dependent variables on one or more explanatory variables
Both explanatory and dependent variables on other
REGRESSION WAS INTRODUCED BY
Dalton
Malthus
Kendell
Francis Galton
Linear regression model is ...
linear in parameters and must be linear in variables
linear in parameters and may not be linear in variables
non linear in parameters and must be linear in variables
linear in explanatory variables but may not be linear in parameters
In regression analysis, the values are fixed for the ...
Explanatory variables
Dependent variables
All variables
None of the variables
Independent variable is…
Predictor
Intercept
Response
Residual
In OLS regression, the task is to minimize ___
Total Sum Squares
Regression Sum Squares
Residual Sum Squares
Unexplained Sum Squares
Which of the following represents true observed values?
Y=α+β⋅X
Yi=hatα+hatβ⋅Xi+hatui
Yi=α+β⋅Xi+ui
Yi=hatα+hatβ⋅Xi
One of the properties of OLS estimators is ...
Linear
Unbiased
Minimum Variance
All of the above
An equation is linear if ...
plotting the function in terms of X and Y generates a straight line
plotting the function in terms of X and Y generates a curve
The explanatory variable in regression analysis are assumed to be ...
Non stochastic
Constant
Stochastic
Known values
studying the dependence of a variable on only a single explanatory variable is known as ...
One Variable regression analysis
Two variable regression analysis
Three variable regression analysis
Multiple regression analysis
Numerical values of the parameters of the model are estimated with the help of ...
Mathematics
Economic statistics
Inferential statistics
None of them
____________________ is the constant or intercept term; it indicates the value of Y when X equals 0
β0
β1
An equation is linear if …
Plotting the function in terms of X and Y generates a curve
Plotting function in terms of X and Y generates straight line
OLS stands for…
(a)
A method for finding the equation of a line that minimizes the sum of squared residuals…
Form
Least Squares
Scatterplot
Association
The scatter plot shows the number of books read by students in Mrs. Hall’s English class and their final grades. Which statement represents the best description about the line of best fit?
The more books students read, the higher their English grade.
The more books students read, the lower their English grade.
The fewer books students read, the higher their English grade.
No relationship exists between the number of books students read and their English grades.
What type of regression would you use for this data?
Quadratic
Linear (T)
Radical
Exponential
Linear
Radical
Exponential
The number in front of the variable…
Exponent
Base
Correlation
Coefficient
A good model has high values in which of the following?
t-statistics
F statistics
Standard Error of Betas
Standard Error of Regression
R2
Proportion of variation in the dependent variable explained by variation in the independent variable...
R
R2
residual
intercept
A method to choose the omitted variable is:
time series analysis
omitted variable analysis
expected bias analysis
correlation analysis
Omitted variable bias also known as:
systematic error
specification error (T)
error term
unbiasedness
Tick the symbol for Error term
Testing overall significance of a model could be done by...
t test
F test
chi square test
Wald test
Stochastic variables are:
Deterministic values
Non-random value
Imply causation
Have probability distribution
Observed value minus predicted value of the response variable…
Residual
Explanatory Variable
Intercept
Lurking Variable
The locus of the conditional means of Y for the fixed values of X is the...
Conditional expectation function
Population Regression Line
Intercept line
Linear Regression Line
Under least square procedure larger the ui larger is the...
Standard error
Regression error
Explained sum of squares
Squared sum of Residuals
The residual is ___
y-ȳ
y-hat ȳ
hat y- ȳ
estimates the error
is estimated by the error
The probability of rejecting the null hypothesis when it is true is called...
Level of confidence
Level of significance
Power of test
None of the above
The choice of one tailed or two tailed test depends upon...
Null Hypothesis
Alternative Hypothesis
Both
None
The value of R2 lies between ...
-1 and 0
-1 and 1
0 and 1
None of the above
The correlation coefficient (r) is only used for linear regressions.
True
False
The residual value can be calculated by subtracting: "predicted y - observed y"
True
False
The least-squares regression line will always pass throught the ordered-pair (mean of x, mean of y).
True
False
Υ=β0 + β1X1 This form of the OLS reggression line is also called the ...
(a)
R2 = SSE/SST = 1 - SSR/SST is define as ...
(a)
