Ivy Software Business Math and Statistics
Exam ACTUAL EXAM 2026/2027 |
Questions and 100% Verified Correct
Detailed Answers | Graded A+ | Pass
Guaranteed - A+ Graded
The Atlanta Braves marketing staff knows it has 20,000 seats in the
n n n n n n n n n n n
stadium priced at $20 per ticket, 13,000 priced at $30 per ticket, and
n n n n n n n n n n n n n
17,000 priced at
n n n
$50 per ticket. Jim says that the marketing materials should say that
n n n n n n n n n n n
average ticket price is $30, Jill says it should be $33, and Fred says it should
n n n n n n n n n n n n n n n n
be $35.20. Who is most correct?
n n n n n n
a. Jim
b. Jill
c. Fred
d. none of the above ..........ANSWER. .... b. Jill
n n n n n
When analyzing data where a steady increase or decrease over time can be
n n n n n n n n n n n n
observed, which method of forecasting would best fit and would probably
n n n n n n n n n n n
predict a similar increase or decrease?
n n n n n n
a. Modified Trend Method n n
b. Weighted Series Method n n
c. Trend Analysis Method n n
d. Normal Curve Method n n
e. Moving Average Method ..........ANSWER. .... c. Trend Analysis Method
n n n n n n
,Weighting factors for a weighted moving average forecast
n n n n n n n
a. weight the most recent data heaviest.
n n n n n
b. weight the oldest data heaviest. n n n n
c. weight all the data the same. n n n n n
d. weight the data in accordance with natural business cycles.
n n n n n n n n
..........ANSWER. ......a. weight the most recent data heaviest. n n n n n n
When gathering times series data for a trend analysis, it is important to
n n n n n n n n n n n n
collect the data at the same time each period because
n n n n n n n n n n
a. it's easier to remember.
n n n
b. it reduces variation.
n n
c. it increases accuracy.
n n
d. all of the above.
n n n
e. none of the above. ..........ANSWER......d. all of the above.
n n n n n n n n
Scatter Diagram ..........ANSWER...... displays data of two variables. Similar
n n n n n n n
to those done in time series except that the data follows no clear progression
n n n n n n n n n n n n n
nthrough time. n
True/False: A regression analysis attempts to find the line through a
n n n n n n n n n n
scatter of data points which minimizes the sum of the squared deviations
n n n n n n n n n n n n
nof the points from the line. ..........ANSWER. True. The line that
n n n n n n n n n
nminimizes the n
sum of the squared deviations of the data points from it is referred to as
n n n n n n n n n n n n n n
nhaving the best fit. n n n
,True/False: The coefficient of determination is the unexplained variation
n n n n n n n n
divided by the total variation. ..........ANSWER. ... False: it is the explained
n n n n n n n n n n
variation divided by the total variation.
n n n n n
True/False: Suppose that two judges, Bill and Ted, each score five
n n n n n n n n n n
ncompetitive divers using a scale from 1 to 10 (with 10 being the best). The
n n n n n n n n n n n n n n
ncorrelation coefficient between Bill's and Ted's scores is 1, which means
n n n n n n n n n n
nthat Bill and Ted gave the divers the same score. ..........ANSWER.
n n n n n n n n n n
............................................................................................................ False. The n
correlation coefficient measures the strength of a linear relationship
n n n n n n n n
nbetween Bill & Ted's scores, not whether one's scores are lower or higher or
n n n n n n n n n n n n n
nthe same as the other's scores. For example, a correlation coefficient of 1
n n n n n n n n n n n n
ncould be obtained by Ted giving scores of 1,2,3,4,5 and Bill giving scores of
n n n n n n n n n n n n n
n2,4,6,8,10 to the same divers. n n n n
True/False: the residual is the difference between the actual value and
n n n n n n n n n n
the predicted value of a dependent variable. ..........ANSWER. True:
n n n n n n n n
The
n
difference between the Y-value of a data point and the predicted value
n n n n n n n n n n n
corresponding to it on the regression line is called the residual.
n n n n n n n n n n n
True/False: if r^2 of 0.5 means that as x goes up, y goes down, and vice versa.
n n n n n n n n n n n n n n n n
..........ANSWER. ......False: r^2 is the coefficient of determination, which tells n n n n n n n n
us how much of the scatter of data points is explained by the regression
n n n n n n n n n n n n n
nmodel. The coefficient of correlation (r) would tell us which way the y
n n n n n n n n n n n n
nwould change (increase or decrease) as x changes.
n n n n n n n
Zero-one or dummy variable ..........ANSWER...... One that cannot be given a
n n n n n n n n n
numerical value n
True/False: a correlation coefficient of -2 means that as x goes up, so does y.
n n n n n n n n n n n n n n
..........ANSWER. ......False: a negative correlation coefficient means that as x n n n n n n n n
, increases, y decreases. Also, it is not possible to have -2 as a correlation
n n n n n n n n n n n n n
ncoefficient.
Susan wants to study the effect of water on the growth of flowers in her
n n n n n n n n n n n n n n
garden. She determines a regression line where water is the independent
n n n n n n n n n n n
variable (measured in fluid ounces) and flower growth is the dependent
n n n n n n n n n n n
variable (measured in cm). If one of her flowers is 40 cm tall, and the
n n n n n n n n n n n n n n n
regression line is y = 15 + 5x, estimate how many fluid ounces of water it
n n n n n n n n n n n n n n n n
has been given.
n n n
A) 20
B) 215
C) 5
D) 115 ..........ANSWER. .... C) 5
n n
Plug 40 cm in for y and solve for x.
n n n n n n n n n
True/False: In a study, the correlation coefficient between class attendance
n n n n n n n n n
nand grades for a group of students was 0.18. Thus 3.24% of the variation
n n n n n n n n n n n n n
nin grades was explained by differences in class attendance.
n n n n n n n n
..........ANSWER. ......True. The coefficient of determination is the square of n n n n n n n n
the correlation coefficient.
n n
Dependent variable ..........ANSWER. ..... The variable the forecaster wishes to
n n n n n n n
predict
True/False: Simple regression is made up of one independent and one
n n n n n n n n n n
dependent variable, while multiple regression is made up of one
n n n n n n n n n n
independent and many dependent variables. ..........ANSWER.....False:
n n n n n n
multiple regression is made up of one dependent and many independent
n n n n n n n n n n
variables.
n
Exam ACTUAL EXAM 2026/2027 |
Questions and 100% Verified Correct
Detailed Answers | Graded A+ | Pass
Guaranteed - A+ Graded
The Atlanta Braves marketing staff knows it has 20,000 seats in the
n n n n n n n n n n n
stadium priced at $20 per ticket, 13,000 priced at $30 per ticket, and
n n n n n n n n n n n n n
17,000 priced at
n n n
$50 per ticket. Jim says that the marketing materials should say that
n n n n n n n n n n n
average ticket price is $30, Jill says it should be $33, and Fred says it should
n n n n n n n n n n n n n n n n
be $35.20. Who is most correct?
n n n n n n
a. Jim
b. Jill
c. Fred
d. none of the above ..........ANSWER. .... b. Jill
n n n n n
When analyzing data where a steady increase or decrease over time can be
n n n n n n n n n n n n
observed, which method of forecasting would best fit and would probably
n n n n n n n n n n n
predict a similar increase or decrease?
n n n n n n
a. Modified Trend Method n n
b. Weighted Series Method n n
c. Trend Analysis Method n n
d. Normal Curve Method n n
e. Moving Average Method ..........ANSWER. .... c. Trend Analysis Method
n n n n n n
,Weighting factors for a weighted moving average forecast
n n n n n n n
a. weight the most recent data heaviest.
n n n n n
b. weight the oldest data heaviest. n n n n
c. weight all the data the same. n n n n n
d. weight the data in accordance with natural business cycles.
n n n n n n n n
..........ANSWER. ......a. weight the most recent data heaviest. n n n n n n
When gathering times series data for a trend analysis, it is important to
n n n n n n n n n n n n
collect the data at the same time each period because
n n n n n n n n n n
a. it's easier to remember.
n n n
b. it reduces variation.
n n
c. it increases accuracy.
n n
d. all of the above.
n n n
e. none of the above. ..........ANSWER......d. all of the above.
n n n n n n n n
Scatter Diagram ..........ANSWER...... displays data of two variables. Similar
n n n n n n n
to those done in time series except that the data follows no clear progression
n n n n n n n n n n n n n
nthrough time. n
True/False: A regression analysis attempts to find the line through a
n n n n n n n n n n
scatter of data points which minimizes the sum of the squared deviations
n n n n n n n n n n n n
nof the points from the line. ..........ANSWER. True. The line that
n n n n n n n n n
nminimizes the n
sum of the squared deviations of the data points from it is referred to as
n n n n n n n n n n n n n n
nhaving the best fit. n n n
,True/False: The coefficient of determination is the unexplained variation
n n n n n n n n
divided by the total variation. ..........ANSWER. ... False: it is the explained
n n n n n n n n n n
variation divided by the total variation.
n n n n n
True/False: Suppose that two judges, Bill and Ted, each score five
n n n n n n n n n n
ncompetitive divers using a scale from 1 to 10 (with 10 being the best). The
n n n n n n n n n n n n n n
ncorrelation coefficient between Bill's and Ted's scores is 1, which means
n n n n n n n n n n
nthat Bill and Ted gave the divers the same score. ..........ANSWER.
n n n n n n n n n n
............................................................................................................ False. The n
correlation coefficient measures the strength of a linear relationship
n n n n n n n n
nbetween Bill & Ted's scores, not whether one's scores are lower or higher or
n n n n n n n n n n n n n
nthe same as the other's scores. For example, a correlation coefficient of 1
n n n n n n n n n n n n
ncould be obtained by Ted giving scores of 1,2,3,4,5 and Bill giving scores of
n n n n n n n n n n n n n
n2,4,6,8,10 to the same divers. n n n n
True/False: the residual is the difference between the actual value and
n n n n n n n n n n
the predicted value of a dependent variable. ..........ANSWER. True:
n n n n n n n n
The
n
difference between the Y-value of a data point and the predicted value
n n n n n n n n n n n
corresponding to it on the regression line is called the residual.
n n n n n n n n n n n
True/False: if r^2 of 0.5 means that as x goes up, y goes down, and vice versa.
n n n n n n n n n n n n n n n n
..........ANSWER. ......False: r^2 is the coefficient of determination, which tells n n n n n n n n
us how much of the scatter of data points is explained by the regression
n n n n n n n n n n n n n
nmodel. The coefficient of correlation (r) would tell us which way the y
n n n n n n n n n n n n
nwould change (increase or decrease) as x changes.
n n n n n n n
Zero-one or dummy variable ..........ANSWER...... One that cannot be given a
n n n n n n n n n
numerical value n
True/False: a correlation coefficient of -2 means that as x goes up, so does y.
n n n n n n n n n n n n n n
..........ANSWER. ......False: a negative correlation coefficient means that as x n n n n n n n n
, increases, y decreases. Also, it is not possible to have -2 as a correlation
n n n n n n n n n n n n n
ncoefficient.
Susan wants to study the effect of water on the growth of flowers in her
n n n n n n n n n n n n n n
garden. She determines a regression line where water is the independent
n n n n n n n n n n n
variable (measured in fluid ounces) and flower growth is the dependent
n n n n n n n n n n n
variable (measured in cm). If one of her flowers is 40 cm tall, and the
n n n n n n n n n n n n n n n
regression line is y = 15 + 5x, estimate how many fluid ounces of water it
n n n n n n n n n n n n n n n n
has been given.
n n n
A) 20
B) 215
C) 5
D) 115 ..........ANSWER. .... C) 5
n n
Plug 40 cm in for y and solve for x.
n n n n n n n n n
True/False: In a study, the correlation coefficient between class attendance
n n n n n n n n n
nand grades for a group of students was 0.18. Thus 3.24% of the variation
n n n n n n n n n n n n n
nin grades was explained by differences in class attendance.
n n n n n n n n
..........ANSWER. ......True. The coefficient of determination is the square of n n n n n n n n
the correlation coefficient.
n n
Dependent variable ..........ANSWER. ..... The variable the forecaster wishes to
n n n n n n n
predict
True/False: Simple regression is made up of one independent and one
n n n n n n n n n n
dependent variable, while multiple regression is made up of one
n n n n n n n n n n
independent and many dependent variables. ..........ANSWER.....False:
n n n n n n
multiple regression is made up of one dependent and many independent
n n n n n n n n n n
variables.
n
