BUAL 5380 STUDY EXAMS GUIDE ALL QUESTIONS
AND ANSWERS SURE A+
✔✔pivot table - ✔✔The tool that provides useful information about a data set by
breaking it down into subpopulations is
the:
✔✔We are usually on the lookout for large correlations near +1 or - 1 - ✔✔To examine
relationships between two categorical variables, we can use
✔✔both of these choices - ✔✔We can infer that there is a strong relationship between
two numerical variables when
✔✔Correlation, Covariance, scatterplot charts - ✔✔We study relationships among
numerical variables using
✔✔Is there an observable trend? and Is there a seasonal pattern? - ✔✔When we look
at a time series plot, we usually look for which two things?
✔✔Covariance and correlation - ✔✔Which of the following are considered measures of
association?
, ✔✔all of these options are possible - ✔✔Which of the following are possible
categorizations of data type?
✔✔mean, median and mode - ✔✔Which of the following are the three most common
measures of central location?
✔✔variance and standard deviation - ✔✔Which of the following are the two most
commonly used measures of variability?
✔✔all are true - ✔✔Which of the following are true statements of pivot tables?
✔✔frequency table - ✔✔Which of the following indicates how many observations fall
into various categories?
✔✔Select the scale for the model. - ✔✔Which of the following is not one of the steps in
the modeling process?
✔✔0.953 - ✔✔A multiple regression analysis including 50 data points and 5
independent variables results in sigma subscript 2 minus 40. The multiple standard
error of estimate will be:
✔✔highly correlated - ✔✔A single variable X can explain a large percentage of the
variation in some other variable Y when the
two variables are:
✔✔67% - ✔✔Approximately what percentage of the observed Y values are within one
standard error of the estimate
( ) of the corresponding fitted Y values?
✔✔80% - ✔✔In a simple linear regression analysis, the following sums of squares are
produced:
SST =400, SSE= 80, SSR = 320
The proportion of the variation in Y that is explained by the variation in X is:
✔✔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
AND ANSWERS SURE A+
✔✔pivot table - ✔✔The tool that provides useful information about a data set by
breaking it down into subpopulations is
the:
✔✔We are usually on the lookout for large correlations near +1 or - 1 - ✔✔To examine
relationships between two categorical variables, we can use
✔✔both of these choices - ✔✔We can infer that there is a strong relationship between
two numerical variables when
✔✔Correlation, Covariance, scatterplot charts - ✔✔We study relationships among
numerical variables using
✔✔Is there an observable trend? and Is there a seasonal pattern? - ✔✔When we look
at a time series plot, we usually look for which two things?
✔✔Covariance and correlation - ✔✔Which of the following are considered measures of
association?
, ✔✔all of these options are possible - ✔✔Which of the following are possible
categorizations of data type?
✔✔mean, median and mode - ✔✔Which of the following are the three most common
measures of central location?
✔✔variance and standard deviation - ✔✔Which of the following are the two most
commonly used measures of variability?
✔✔all are true - ✔✔Which of the following are true statements of pivot tables?
✔✔frequency table - ✔✔Which of the following indicates how many observations fall
into various categories?
✔✔Select the scale for the model. - ✔✔Which of the following is not one of the steps in
the modeling process?
✔✔0.953 - ✔✔A multiple regression analysis including 50 data points and 5
independent variables results in sigma subscript 2 minus 40. The multiple standard
error of estimate will be:
✔✔highly correlated - ✔✔A single variable X can explain a large percentage of the
variation in some other variable Y when the
two variables are:
✔✔67% - ✔✔Approximately what percentage of the observed Y values are within one
standard error of the estimate
( ) of the corresponding fitted Y values?
✔✔80% - ✔✔In a simple linear regression analysis, the following sums of squares are
produced:
SST =400, SSE= 80, SSR = 320
The proportion of the variation in Y that is explained by the variation in X is:
✔✔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
