BUAL 5380 UPDATED EXAMS SCRIPT ALL
QUESTIONS AND ANSWERS SURE A+
✔✔all of the other independent variables remain constant - ✔✔An important condition
when interpreting the coefficient for a particular independent variable X in a
multiple regression equation is that:
✔✔residual - ✔✔In linear regression, we fit the least squares line to a set of values (or
points on a scatterplot). The
distance from the line to a point is called the:
✔✔product - ✔✔In linear regression, we can have an interaction variable. Algebraically,
the interaction variable is
the __________ of other variables in the regression equation.
✔✔response variable explained by the regression line - ✔✔The percentage of variation
(R^2 ) can be interpreted as the fraction (or percent) of variation of the
✔✔the number of explanatory variables in a multiple regression model - ✔✔The
adjusted R2 adjusts R2 for:
✔✔explanatory variables being highly correlated - ✔✔In regression analysis,
multicollinearity refers to:
, ✔✔H0:B = 0, Ha: at least 1 B does not equal 0 - ✔✔The appropriate hypothesis test for
a regression coefficient or an ANOVA test is:
✔✔is a candidate for exclusion - ✔✔When determining whether to include or exclude a
variable in regression analysis, if the p-value associated with the variable's t-value is
above some accepted significance value, such as 0.05, then
the variable:
✔✔to include categorical variables in the regression equation - ✔✔In linear regression,
a dummy variable is used:
✔✔predicted value of the dependent variable - ✔✔In linear regression, the fitted value
is the:
✔✔explaining the most with the least - ✔✔Which of the following definitions best
describes parsimony?
✔✔autocorrelation - ✔✔Time series data often exhibits which of the following
characteristics?
✔✔number of independent variables included in the equation - ✔✔The value k in the
number of degrees of freedom, n-k-1, for the sampling distribution of the regression
coefficients represents:
✔✔Dummy Variables - ✔✔Coding males as 1 and females as 0 in a data set illustrates
the use of...
✔✔Middle 50% - ✔✔The interquartile range (IQR) represents what percent of the
observations?
✔✔The average of the 2 middle observations - ✔✔How is the median defined if the
number of observations is even?
✔✔Histogram - ✔✔What is the most common type of chart for showing the distribution
of a numerical variable?
✔✔Categorical - ✔✔"Gender" and "State" are examples of which type of data?
✔✔Independent variable - ✔✔In regression analysis, the variables used to help explain
or predict the response variable are called the _____
✔✔Lie outside the typical pattern of points on a scatterplot - ✔✔Outliers are
observations that _____
QUESTIONS AND ANSWERS SURE A+
✔✔all of the other independent variables remain constant - ✔✔An important condition
when interpreting the coefficient for a particular independent variable X in a
multiple regression equation is that:
✔✔residual - ✔✔In linear regression, we fit the least squares line to a set of values (or
points on a scatterplot). The
distance from the line to a point is called the:
✔✔product - ✔✔In linear regression, we can have an interaction variable. Algebraically,
the interaction variable is
the __________ of other variables in the regression equation.
✔✔response variable explained by the regression line - ✔✔The percentage of variation
(R^2 ) can be interpreted as the fraction (or percent) of variation of the
✔✔the number of explanatory variables in a multiple regression model - ✔✔The
adjusted R2 adjusts R2 for:
✔✔explanatory variables being highly correlated - ✔✔In regression analysis,
multicollinearity refers to:
, ✔✔H0:B = 0, Ha: at least 1 B does not equal 0 - ✔✔The appropriate hypothesis test for
a regression coefficient or an ANOVA test is:
✔✔is a candidate for exclusion - ✔✔When determining whether to include or exclude a
variable in regression analysis, if the p-value associated with the variable's t-value is
above some accepted significance value, such as 0.05, then
the variable:
✔✔to include categorical variables in the regression equation - ✔✔In linear regression,
a dummy variable is used:
✔✔predicted value of the dependent variable - ✔✔In linear regression, the fitted value
is the:
✔✔explaining the most with the least - ✔✔Which of the following definitions best
describes parsimony?
✔✔autocorrelation - ✔✔Time series data often exhibits which of the following
characteristics?
✔✔number of independent variables included in the equation - ✔✔The value k in the
number of degrees of freedom, n-k-1, for the sampling distribution of the regression
coefficients represents:
✔✔Dummy Variables - ✔✔Coding males as 1 and females as 0 in a data set illustrates
the use of...
✔✔Middle 50% - ✔✔The interquartile range (IQR) represents what percent of the
observations?
✔✔The average of the 2 middle observations - ✔✔How is the median defined if the
number of observations is even?
✔✔Histogram - ✔✔What is the most common type of chart for showing the distribution
of a numerical variable?
✔✔Categorical - ✔✔"Gender" and "State" are examples of which type of data?
✔✔Independent variable - ✔✔In regression analysis, the variables used to help explain
or predict the response variable are called the _____
✔✔Lie outside the typical pattern of points on a scatterplot - ✔✔Outliers are
observations that _____
