Unit 6 : Regression Analysis and Forecasting – Quiz
Question 1. 1. Daily
demand for newspapers for the last 10 days has been as follows: 12, 13, 16, 15,
12, 18, 14, 12, 13, 15 (listed from oldest to most recent). Forecast sales for
the next day using a two-day weighted moving average where the weights are 3
and 1 are (Points : 1)
14.5.
13.5.
14.
12.25.
Question 2. 2.
Enrollment in a particular class for the last four semesters has been
120, 126, 110, and 130. Suppose a one-semester moving average was used to
forecast enrollment (this is sometimes referred to as a naïve forecast). Thus,
the forecast for the second semester would be 120, for the third semester it
would be 126, and for the last semester it would be 110. What would the MSE be
for this situation? (Points : 1)
196.00
230.67
100.00
42.00
Question 3. 3. The
correlation coefficient resulting from a particular regression analysis was
0.25. What was the coefficient of determination? (Points : 1)
0.5
-0.5
0.0625
There is
insufficient information to answer the question.
Question 4. 4. When both
trend and seasonal components are present in time series, which of the
following is most appropriate? (Points : 1)
the use of
centered moving averages
the use of
moving averages
the use of
weighted moving averages
the use of
double smoothing
Question 5. 5. Which
of the following is considered to be one of the components of a time series?
(Points : 1)
trend
seasonality
cycles
All of the
above
Question 6. 6. Which of
the following statements is not true about regression models? (Points : 1)
Estimates of
the slope are found from sample data.
The regression
line minimizes the sum of the squared errors.
The dependent
variable is the explanatory variable.
The intercept
coefficient is not typically interpreted.
Question 7. 7. As one
increases the number of periods used in the calculation of a moving average,
(Points : 1)
greater
emphasis is placed on more recent data.
less emphasis
is placed on more recent data.
the emphasis
placed on more recent data remains the same.
it requires a
computer to automate the calculations.
Question 8. 8. Which
of the following statements about scatter diagrams is true? (Points : 1)
Time is always
plotted on the y-axis.
It can depict
the relationship among three variables simultaneously.
It is helpful
when forecasting with qualitative data.
The variable
to be forecasted is placed on the y-axis.
Question 9. 9. A
judgmental forecasting technique that uses decision makers, staff personnel,
and respondent to determine a forecast is called (Points : 1)
exponential
smoothing.
the Delphi
method.
jury of
executive opinion.
sales force
composite.
Question 10. 10. A
seasonal index of ________ indicates that the season is average. (Points :
1)
0.1
0.5
0
1
Question 11. 11. The
condition of an independent variable being correlated to one or more other
independent variables is referred to as (Points : 1)
multicollinearity.
statistical
significance.
linearity.
nonlinearity.
Question 12. 12. The
coefficient of determination resulting from a particular regression analysis
was 0.85. What was the correlation coefficient, assuming a positive linear
relationship? (Points : 1)
0.5
-0.5
0.922
There is
insufficient information to answer the question.
Question 13. 13.
Enrollment in a particular class for the last four semesters has been
120, 126, 110, and 130 (listed from oldest to most recent). Develop a forecast
of enrollment next semester using exponential smoothing with an alpha = 0.2.
Assume that an initial forecast for the first semester was 120 (so the forecast
and the actual were the same). (Points : 1)
118.96
121.17
130
120
Question 14. 14.
Which of the following is a technique used to determine forecasting
accuracy? (Points : 1)
exponential
smoothing
moving average
Delphi method
mean absolute
percent error
Question 15. 15. When
is the exponential smoothing model equivalent to the naïve forecasting model?
(Points : 1)
a = 0
a = 0.5
a = 1
never
Question 16. 16.
Which of the following statements is true regarding a scatter diagram?
(Points : 1)
It provides
very little information about the relationship between the regression
variables.
It is a plot
of the independent and dependent variables.
It is a line
chart of the independent and dependent variables.
It has a value
between -1 and +1.
Question 17. 17.
Assume that you have tried three different forecasting models. For the
first, the MAD = 2.5, for the second, the MSE = 10.5, and for the third, the
MAPE = 2.7. We can then say: (Points : 1)
the third method
is the best.
the second
method is the best.
methods one
and three are preferable to method two.
None of the
above
Question 18. 18. A
medium-term forecast is considered to cover what length of time? (Points :
1)
2-4 weeks
1 month to 1
year
2-4 years
5-10 years
Question 19. 19.
Daily demand for newspapers for the last 10 days has been as follows:
12, 13, 16, 15, 12, 18, 14, 12, 13, 15 (listed from oldest to most recent). Forecast
sales for the next day using a two-day moving average. (Points : 1)
14
13
15
28
Question 20. 20. If
computing a causal linear regression model of Y = a + bX and the resultant r2
is very near zero, then one would be able to conclude that (Points : 1)
Y = a + bX is a
good forecasting method.
Y = a + bX is
not a good forecasting method.
a multiple
linear regression model is a good forecasting method for the data.
a multiple
linear regression model is not a good forecasting method for the data.