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BUAL 5380 ACTUAL FINAL EXAMS ALL QUESTIONS AND ANSWERS SURE A.pdf

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BUAL 5380 ACTUAL FINAL EXAMS ALL QUESTIONS
AND ANSWERS SURE A+
✔✔the strength of the linear relationship between pairs of variables - ✔✔The correlation
is best interpreted

✔✔interquartile range - ✔✔The difference between the first and third quartile is called
the

✔✔IQR - ✔✔The length of the box in the boxplot portrays the

✔✔is very sensitive to the units of the variables - ✔✔The limitation of covariance as a
descriptive measure of association is that it

✔✔middle observation when the data values are arranged in ascending order - ✔✔The
median can also be described as:

✔✔most frequently occurring value - ✔✔The mode is best described as the

✔✔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

✔✔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?

✔✔Binning - ✔✔Categorizing age variables as "young", "middle-aged", and "elderly" is
an example of

✔✔mean, median and mode - ✔✔Which of the following are the three most common
measures of central tendency?

✔✔variance and standard deviation - ✔✔Which of the following are the two most
commonly used measures of variability?

✔✔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?

✔✔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:

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