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Ordinary Least Square Assumptions
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Statistics used to describe or summarize a set of observations is known to be
Inferential Statistics
Comparative statistics
Referential statistics
descriptive statistics
Finding deciles are useful in
Histograms
Gantt charts
Bar charts
pie charts
Variance assumed for explanatory variable is
Finite positive number
Infinite negative number
Finite negative number
Infinite positive number
Deciles can be computed in which each divided part is said to be its
Index
RANK
subset
sample
If assumption of homoscedastic disturbance is not fulfilled, variance of coefficient is
constant
Not fixed
applied
Not applied
Square of t-distribution with k degree of freedom is equivalent to
Z-distribution
Chi-square distribution
F-distribution
Binomial distribution
If relationship between variables of interest generates zero value, it represents relation form of
Both a and b
Supportive relation
Systematic relation
Circular relation
If relationship between variables of interest generates zero value, it represents relation form of
Both a and b
Supportive relation
Systematic relation
Circular relation
Heteroscedasticity can also arises as a result of presence of
High skewness
outliers
No correlation
Perfect multicollinearity
No specification biasness or error in model used in empirical analysis means model have to be
Correctly not specified
insignificant
significant
Correctly specified
If number of observations are less than or equal to 30, best suited test is to apply
Binomial test
Poisson test
JB test
T-test
If number of observations are less than or equal to 30, best suited test is to apply
Poisson test
JB test
T-test
Binomial test
Result generated from square root of sample variance is equivalent to
standard deviation
Error term variance
Significance of variance
Population variance
Result generated from square root of sample variance is equivalent to
Significance of variance
Error term variance
standard deviation
Population variance
A sampling technique in which each observation have an equal chance of selection is known to be
Structured Sampling
Stratified sampling
Clustered Sampling
Random sampling
A sampling technique in which each observation have an equal chance of selection is known to be
Random sampling
Stratified sampling
Structured Sampling
Clustered Sampling
In systematic sampling technique, first number is selected as
Randomly
systematically
Strategically
Algorithmically
Specification of incorrect functional form can also be a mean to generation of
Homoscedasticity
Irregular distribution
Heteroscedasticity
Multicollinearity
Probability of committing type of error is expressed through
Level of rejection
Level of equivalency
Level of significance
Level of acceptance
Heteroscedasticity arises from violating assumption of
Unbiased linear regression model
Best linear regression model
Linear regression model
Classical linear regression model
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