stats mcq homework-Given an actual demand of 61, a previous forecast of 58,

Question 1 text Question 1

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Given an actual demand of 61, a previous forecast of 58, and
anhttps://cyberactive.bellevue.edu/courses/1/MBA522-T202_2105_1/ppg/pearson/tm/om8h/u945.gif>
of .3, what would the forecast for the next period be using simple exponential
smoothing?

Question 1 answers

45.5

57.1

58.9

61.0

65.5

Question 2 text Question 2

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Which of the following values of alpha would cause
exponential smoothing to respond the most slowly to forecast errors?

Question 2 answers

0.10

0.20

0.40

0.80

cannot be determined

Question 3 text Question 3

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A forecasting method has produced the following over the
past five months. What is the mean absolute deviation?

Question 3 answers

-0.2

-1.0

0.0

1.2

8.6

Question 4 text Question 4

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Given forecast errors of -1, 4, 8, and -3, what is the mean
absolute deviation?

Question 4 answers

2

3

4

8

16

Question 5 text Question 5

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The last four months of sales were 8, 10, 15, and 9 units.
The last four forecasts were 5, 6, 11, and 12 units. The Mean Absolute
Deviation (MAD) is

Question 5 answers

2

-10

3.5

9

10.5

Question 6 text Question 6

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A time series trend equation is 25.3 + 2.1 X. What is your
forecast for period 7?

Question 6 answers

23.2

25.3

27.4

40.0

cannot be determined

Question 7 text Question 7

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For a given product demand, the time series trend equation
is 53 – 4 X. The negative sign on the slope of the equation

Question 7 answers

is a mathematical impossibility

is an indication that the forecast is biased, with forecast
values lower than actual values

is an indication that product demand is declining

implies that the coefficient of determination will also be
negative

implies that the RSFE will be negative

Question 8 text Question 8

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In trend-adjusted exponential smoothing, the forecast
including trend (FIT) consists of

Question 8 answers

an exponentially smoothed forecast and an estimated trend
value

an exponentially smoothed forecast and a smoothed trend
factor

the old forecast adjusted by a trend factor

the old forecast and a smoothed trend factor

a moving average and a trend factor

Question 9 text Question 9

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Which of the following is true regarding the two smoothing
constants of the Forecast Including Trend (FIT) model (which is also called
exponential smoothing with trend adjustment)?

Question 9 answers

One constant is positive, while the other is negative.

They are called MAD and RSFE.

Alpha is always smaller than beta.

One constant smoothes the regression intercept, whereas the
other smooths the regression slope.

Their values are determined independently.

Question 10 text Question 10

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Demand for a certain product is forecast to be 800 units per
month, averaged over all 12 months of the year. The product follows a seasonal
pattern, for which the January monthly index is 1.25. What is the
seasonally-adjusted sales forecast for January?

Question 10 answers

640 units

798.75 units

800 units

1000 units

cannot be calculated with the information given

Question 11 text Question 11

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A seasonal index for a monthly series is about to be
calculated on the basis of three years’ accumulation of data. The three
previous July values were 110, 150, and 130. The average over all months is
190. The approximate seasonal index for July is

Question 11 answers

0.487

0.684

1.462

2.053

cannot be calculated with the information given

Question 12 text Question 12

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The percent of variation in the dependent variable that is
explained by the regression equation is measured by the

Question 12 answers

mean absolute deviation

slope

coefficient of determination

correlation coefficient

intercept

Question 13 text Question 13

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If two variables were perfectly correlated, the correlation
coefficient r would equal

Question 13 answers

0

less than 1

exactly 1

-1 or +1

greater than 1

Question 14 text Question 14

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The last four weekly values of sales were 80, 100, 105, and
90 units. The last four forecasts were 60, 80, 95, and 75 units. These
forecasts illustrate

Question 14 answers

qualitative methods

adaptive smoothing

slope

bias

trend projection

Question 15 text Question 15

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Use the three-month moving-average method to forecast sales
for June.

Question 15 answers

Fewer than or equal to 20 units

Greater than 20 but fewer than or equal to 22 units

Greater than 22 but fewer than or equal to 24 units

Greater than 24 units

Question 16 text Question 16

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What is the forecast for July with the two-month
moving-average method and June sales of 40 units?

Question 16 answers

Fewer than or equal to 25 units

Greater than 25 but fewer than or equal to 30 units

Greater than 30 but fewer than or equal to 35 units

Greater than 35 units

Question 17 text Question 17

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The forecasting equation for a three-month weighted moving
average is:
Ft = W1Dt + W2Dt-1 + W3Dt-2
If the sales for June were 40 units and the weights are W1=
1/2, W2= 1/3, and W3 = 1/6, what is the forecast for July?
Assume Dt = June Demand = 40.

Question 17 answers

Fewer than or equal to 30 units

Greater than 30 but fewer than or equal to 33 units

Greater than 33 but fewer than or equal to 36 units

Greater than 36 units

Question 18 text Question 18

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Using the 4-month weighted moving-average technique and the
following weights, what is the forecasted demand for November?

Question 18 answers

Fewer than or equal to 250 units

Greater than 250 but fewer than or equal to 265 units

Greater than 265 but fewer than or equal to 280 units

More than 280 units

Question 19 text Question 19

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Use an exponential smoothing model with a smoothing
parameter of 0.30 and an April forecast of 525 to determine what the forecast
sales would have been for June.

Question 19 answers

Fewer than or equal to 535

Greater than 535 but fewer than or equal to 545

Greater than 545 but fewer than or equal to 555

Greater than 555

Question 20 text Question 20

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Use the exponential smoothing method
withhttps://cyberactive.bellevue.edu/courses/1/MBA522-T202_2105_1/ppg/pearson/tm/om8k/u945.gif=
0.5 and a February forecast of 500 to forecast the sales for May.

Question 20 answers

Fewer than or equal to 530

Greater than 530 but fewer than or equal to 540

Greater than 540 but fewer than or equal to 550

Greater than 550

Question 21 text Question 21

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TOMBOW is a small manufacturer of pencils and has had the
following sales record for the most recent five months:

Use an exponential smoothing model to forecast sales in
months 2, 3, 4, and 5. Let the smoothing
parameterhttps://cyberactive.bellevue.edu/courses/1/MBA522-T202_2105_1/ppg/pearson/tm/om8k/u945.gif>
equal 0.6; select F1 = 150 to get the forecast started.

The forecast for month 2 is:

Question 21 answers

fewer than or equal to 120 units.

greater than 120 but fewer than or equal to 140 units.

greater than 140 but fewer than or equal to 160 units.

greater than 160 units.

Question 22 text Question 22

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TOMBOW is a small manufacturer of pencils and has had the
following sales record for the most recent five months:

Use an exponential smoothing model to forecast sales in
months 2, 3, 4, and 5. Let the smoothing
parameterhttps://cyberactive.bellevue.edu/courses/1/MBA522-T202_2105_1/ppg/pearson/tm/om8k/u945.gif>
equal 0.6; select F1 = 150 to get the forecast started.

The forecast for month 4 is:

Question 22 answers

fewer than or equal to 140 units.

greater than 140 but fewer than or equal to 150.

greater than 150 but fewer than or equal to 160 units.

greater than 160 units.

Question 23 text Question 23

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TOMBOW is a small manufacturer of pencils and has had the
following sales record for the most recent five months:

Use an exponential smoothing model to forecast sales in
months 2, 3, 4, and 5. Let the smoothing
parameterhttps://cyberactive.bellevue.edu/courses/1/MBA522-T202_2105_1/ppg/pearson/tm/om8k/u945.gif=
0.6; select F1 = 150 to get the forecast started.

The forecast for month 5 is:

Question 23 answers

fewer than or equal to 150 units.

greater than 150 but fewer than or equal to 160 units.

greater than 160 but fewer than or equal to 170 units.

greater than 170 units.

Question 24 text Question 24

1 points

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TOMBOW is a small manufacturer of pencils and has had the
following sales record for the most recent five months:

Use an exponential smoothing model to forecast sales in
months 2, 3, 4, and 5. Let the smoothing
parameterhttps://cyberactive.bellevue.edu/courses/1/MBA522-T202_2105_1/ppg/pearson/tm/om8k/u945.gif=
0.6; select F1 = 150 to get the forecast started.

The cumulative sum of errors CFE from months 2 through 5 is:

Question 24 answers

fewer than or equal to 80.

greater than 80 but fewer than or equal to 85.

greater than 87 but fewer than or equal to 90.

greater than 90.

Question 25 text Question 25

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TOMBOW is a small manufacturer of pencils and has had the
following sales record for the most recent five months:

Use an exponential smoothing model to forecast sales in
months 2, 3, 4, and 5. Let the smoothing
parameterhttps://cyberactive.bellevue.edu/courses/1/MBA522-T202_2105_1/ppg/pearson/tm/om8k/u945.gifequal
0.6; select F1 = 150 to get the forecast started.

What is the MAD for months 2 through 5?

Question 25 answers

Less than or equal to 20

Greater than 20 but less than or equal to 25

Greater than 25 but less than or equal to 30

Greater than 30

Question 26 text Question 26

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A sales manager wants to forecast monthly sales of the
machines the company makes using the following monthly sales data.

Use this information, and use the 3-month weighted
moving-average method to calculate the forecast for month 9. The weights are
0.60, 0.30, and 0.10, where 0.60 refers to the most recent demand.

Question 26 answers

$3,916

$3,880

$3,396

$3,229

Question 27 text Question 27

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A sales manager wants to forecast monthly sales of the
machines the company makes using the following monthly sales data.

Use this information, , if the forecast for period 7 is
$4,300, what is the forecast for period 9 using exponential smoothing with an
alpha equal to 0.30?

Question 27 answers

$4,300

$4,342

$4,158

$3,957

Question 28 text Question 28

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The management of an insurance company monitors the number
of mistakes made by telephone service representatives for a company they have
subcontracted with. The number of mistakes for the past several months appears
in this table along with forecasts for errors made with three different
forecasting techniques. The column labeled Exponential was created using
exponential smoothing with an alpha of 0.30. The column labeled MA is forecast
using a moving average of three periods. The column labeled WMA uses a 3-month
weighted moving average with weights of 0.65, 0.25, and 0.10 for the
most-to-least recent months.

Using this table, what is the MSE for months 6-10 for the
exponential smoothing technique?

Question 28 answers

Less than 591

Greater than or equal to 591 but less than 595

Greater than or equal to 595 but less than 599

Greater than 599

Question 29 text Question 29

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The management of an insurance company monitors the number
of mistakes made by telephone service representatives for a company they have
subcontracted with. The number of mistakes for the past several months appears
in this table along with forecasts for errors made with three different
forecasting techniques. The column labeled Exponential was created using
exponential smoothing with an alpha of 0.30. The column labeled MA is forecast
using a moving average of three periods. The column labeled WMA uses a 3-month
weighted moving average with weights of 0.65, 0.25, and 0.10 for the
most-to-least recent months.

Using this table , what is the order of the forecasting
techniques from most accurate to least accurate based on their errors for
months 6-10?

Question 29 answers

Exponential smoothing, weighted moving average, moving
average

Exponential smoothing, moving average, weighted moving
average

Moving average, exponential smoothing, weighted moving
average

Weighted moving average, moving average, exponential
smoothing

Question 30 text Question 30

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The management of an insurance company monitors the number
of mistakes made by telephone service representatives for a company they have
subcontracted with. The number of mistakes for the past several months appears
in this table along with forecasts for errors made with three different
forecasting techniques. The column labeled Exponential was created using
exponential smoothing with an alpha of 0.30. The column labeled MA is forecast
using a moving average of three periods. The column labeled WMA uses a 3-month
weighted moving average with weights of 0.65, 0.25, and 0.10 for the
most-to-least recent months.

Using this table, what is the mean absolute percent error
for months 6-10 using the exponential smoothing forecasts?

Question 30 answers

Less than 22%

Greater than or equal to 22% but less than 24%

Greater than or equal to 24% but less than 26%

Greater than 26%