4/15/25, 11:07 BUAL 5380 Exam 2 Flashcards |
AM
BUAL 5380 EXAM 2 QUESTIONS AND ANSWERS WITH
COMPLETE SOLUTIONS VERIFIED 2025
Leave the first rating
Save
Terms in this set (97)
Which of the following is not one of the c. The standard deviation of the response variable increases as the explanatory
assumptions of regression? variables increase.
a.There is a population regression
line that joins the SDs of all
possible distributions of results.
b.The response variable is
normally distributed.
c.The standard deviation of the
response variable increases as the
explanatory variables increase.
d.The errors are probabilistically
independent
An error term represents the vertical b. population regression line
distance from any point to the:
a.estimated regression line
b. population regression line
c. value of the Y's
d. mean value of the X's
Which statement is true regarding c. It cannot be calculated from the observed data.
regression error, ε?
a.It is the same as a residual.
b. It can be calculated from the observed
data.
c. It cannot be calculated from the
observed data.
d. It is unbiased.
The term autocorrelation refers to the d. time series variables are usually related to their own past values
observation that:
a.analyzed data refers to itself
b. sample is related too closely to the
population
c. data are in a loop (values
repeat themselves)
d. time series variables are usually related
to their own past values
In regression analysis, multicollinearity b. explanatory variables being highly correlated
refers to the:
a.response variables being highly
correlated
1/16
,4/15/25, 11:07 BUAL 5380 Exam 2 Flashcards |
AM
b. explanatory variables being
highly correlated
c. response variable(s) and the
explanatory variable(s) being
highly correlated with one
another
d. response variables being highly
correlated over time
Another term for constant error variance a. homoscedasticity
is:
a. homoscedasticity
b. heteroscedasticity
c. autocorrelation
d. multicollinearity
Time series data often exhibits which of c. autocorrelation
the following characteristics?
a. homoscedasticity
b. heteroscedasticity
c. autocorrelation
d. multicollinearity
A scatterplot that exhibits a “fan” a. homoscedasticity
shape (the variation of Y increases
as X increases) is an example of:
a. homoscedasticity
b. heteroscedasticity
c. autocorrelation
d. multicollinearity
Which definition best describes a. explaining the most with the least
parsimony?
a.explaining the most with the least
b. explaining the least with the most
c. being able to explain all of the
change in the response variable
d. being able to predict the value of the
response variable far into the future
Which of the following is the relevant c. t-distribution with n-1-k degrees of freedom
sampling distribution for
regression coefficients?
a.normal distribution
b. t-distribution with n-1 degrees of
freedom
c. t-distribution with n-1-k degrees of
freedom
d. F-distribution with n-1-k degrees of
freedom
The t-value for testing Ho: Bi = 0 is d. bi | sb
calculated using which of the following
equations?
a.n - k - 1
b.Z (Xi | Yi)
c. Bi | si
d. bi | sb
2/16
, 4/15/25, 11:07 BUAL 5380 Exam 2 Flashcards |
AM
In the standardized value (bi - Bi) | sb, the c. standard error of b
symbol sb represents the:
a.mean of bi
b.variance of bi
c. standard error of bi
d. degrees of freedom of bi
The value k in the number of degrees of d. number of independent variables included in the equation
freedom, n-k-1, for the sampling
distribution of the regression coefficients
represents the:
a.sample size
b. population size
c. number of coefficients in the
regression equation, including the
constant
d. number of independent variables
included in the equation
The appropriate hypothesis test for a b. Ho : B = 0, Ha : B does not equal 0
regression coefficient is:
a.Ho : B does not equal 0, Ha : B = 0
b. Ho : B = 0, Ha : B does not equal 0
c. Ho : B = 1, Ha : B does not equal 1
d. none of these choices
The ANOVA table splits the total variation d. explained and unexplained variation
into two parts. They are the:
a.acceptable and unacceptable variation
b. adequate and inadequate variation
c. resolved and unresolved variation
d. explained and unexplained variation
In regression analysis, the ANOVA table a. the variation of the response variable Y
analyzes:
a.the variation of the response variable Y
b. the variation of the
explanatory variable X
c. the total variation of all variables
d. all of these choices
There is evidence that the c. is small
regression equation provides little
explanatory power when the F-
ratio:
a.is large
b. equals the regression coefficient
c. is small
d. is the constant
The appropriate hypothesis test for an b. Ho : all B = 0, Ha : at least one B does not equal 0
ANOVA test is:
a.Ho : all B does not equal 0, Ha : at
least one B = 0
b. Ho : all B = 0, Ha : at least one B does
not equal 0
c. Ho : at least one B does not equal 0, Ha
: all B = 0
d. Ho : at least one B = 0, Ha : all B does
not equal 0
3/16
AM
BUAL 5380 EXAM 2 QUESTIONS AND ANSWERS WITH
COMPLETE SOLUTIONS VERIFIED 2025
Leave the first rating
Save
Terms in this set (97)
Which of the following is not one of the c. The standard deviation of the response variable increases as the explanatory
assumptions of regression? variables increase.
a.There is a population regression
line that joins the SDs of all
possible distributions of results.
b.The response variable is
normally distributed.
c.The standard deviation of the
response variable increases as the
explanatory variables increase.
d.The errors are probabilistically
independent
An error term represents the vertical b. population regression line
distance from any point to the:
a.estimated regression line
b. population regression line
c. value of the Y's
d. mean value of the X's
Which statement is true regarding c. It cannot be calculated from the observed data.
regression error, ε?
a.It is the same as a residual.
b. It can be calculated from the observed
data.
c. It cannot be calculated from the
observed data.
d. It is unbiased.
The term autocorrelation refers to the d. time series variables are usually related to their own past values
observation that:
a.analyzed data refers to itself
b. sample is related too closely to the
population
c. data are in a loop (values
repeat themselves)
d. time series variables are usually related
to their own past values
In regression analysis, multicollinearity b. explanatory variables being highly correlated
refers to the:
a.response variables being highly
correlated
1/16
,4/15/25, 11:07 BUAL 5380 Exam 2 Flashcards |
AM
b. explanatory variables being
highly correlated
c. response variable(s) and the
explanatory variable(s) being
highly correlated with one
another
d. response variables being highly
correlated over time
Another term for constant error variance a. homoscedasticity
is:
a. homoscedasticity
b. heteroscedasticity
c. autocorrelation
d. multicollinearity
Time series data often exhibits which of c. autocorrelation
the following characteristics?
a. homoscedasticity
b. heteroscedasticity
c. autocorrelation
d. multicollinearity
A scatterplot that exhibits a “fan” a. homoscedasticity
shape (the variation of Y increases
as X increases) is an example of:
a. homoscedasticity
b. heteroscedasticity
c. autocorrelation
d. multicollinearity
Which definition best describes a. explaining the most with the least
parsimony?
a.explaining the most with the least
b. explaining the least with the most
c. being able to explain all of the
change in the response variable
d. being able to predict the value of the
response variable far into the future
Which of the following is the relevant c. t-distribution with n-1-k degrees of freedom
sampling distribution for
regression coefficients?
a.normal distribution
b. t-distribution with n-1 degrees of
freedom
c. t-distribution with n-1-k degrees of
freedom
d. F-distribution with n-1-k degrees of
freedom
The t-value for testing Ho: Bi = 0 is d. bi | sb
calculated using which of the following
equations?
a.n - k - 1
b.Z (Xi | Yi)
c. Bi | si
d. bi | sb
2/16
, 4/15/25, 11:07 BUAL 5380 Exam 2 Flashcards |
AM
In the standardized value (bi - Bi) | sb, the c. standard error of b
symbol sb represents the:
a.mean of bi
b.variance of bi
c. standard error of bi
d. degrees of freedom of bi
The value k in the number of degrees of d. number of independent variables included in the equation
freedom, n-k-1, for the sampling
distribution of the regression coefficients
represents the:
a.sample size
b. population size
c. number of coefficients in the
regression equation, including the
constant
d. number of independent variables
included in the equation
The appropriate hypothesis test for a b. Ho : B = 0, Ha : B does not equal 0
regression coefficient is:
a.Ho : B does not equal 0, Ha : B = 0
b. Ho : B = 0, Ha : B does not equal 0
c. Ho : B = 1, Ha : B does not equal 1
d. none of these choices
The ANOVA table splits the total variation d. explained and unexplained variation
into two parts. They are the:
a.acceptable and unacceptable variation
b. adequate and inadequate variation
c. resolved and unresolved variation
d. explained and unexplained variation
In regression analysis, the ANOVA table a. the variation of the response variable Y
analyzes:
a.the variation of the response variable Y
b. the variation of the
explanatory variable X
c. the total variation of all variables
d. all of these choices
There is evidence that the c. is small
regression equation provides little
explanatory power when the F-
ratio:
a.is large
b. equals the regression coefficient
c. is small
d. is the constant
The appropriate hypothesis test for an b. Ho : all B = 0, Ha : at least one B does not equal 0
ANOVA test is:
a.Ho : all B does not equal 0, Ha : at
least one B = 0
b. Ho : all B = 0, Ha : at least one B does
not equal 0
c. Ho : at least one B does not equal 0, Ha
: all B = 0
d. Ho : at least one B = 0, Ha : all B does
not equal 0
3/16
