Question 1

Which of the following statements about moving averages is not true?&#10;A) It can be used to smooth a series.&#10;B) It gives equal weight to all values in the computation.&#10;C) It is simpler than the method of exponential smoothing.&#10;D) It gives greater weight to more recent data.

Accepted Answer

It gives greater weight to more recent data.

Question 2

Which of the following is not an advantage of exponential smoothing?&#10;A) It enables us to perform one-period ahead forecasting.&#10;B) It enables us to perform more than one-period ahead forecasting.&#10;C) It enables us to smooth out seasonal components.&#10;D) It enables us to smooth out cyclical components.

Accepted Answer

Exponential smoothing is a forecasting technique that uses past data to predict future values. It is a simple and effective technique that can be used to forecast a wide variety of time series data. However, exponential smoothing is not able to perform more than one-period ahead forecasting.

Question 3

Which of the following statements about the method of exponential smoothing is not true?&#10;A) It gives greater weight to more recent data.&#10;B) It can be used for forecasting.&#10;C) It uses all earlier observations in each smoothing calculation.&#10;D) It gives greater weight to the earlier observations in the series.

Accepted Answer

The statement "It gives greater weight to the earlier observations in the series" is not true. Exponential smoothing gives more weight to the more recent data points, while diminishing the weight of older data points.

Question 4

To assess the adequacy of a forecasting model, one measure that is often used is&#10;A) quadratic trend analysis.&#10;B) the MAD.&#10;C) exponential smoothing.&#10;D) moving averages.

Accepted Answer

The MAD (mean absolute deviation) is a commonly used measure for assessing the accuracy of a forecasting model. It measures the average absolute difference between the forecasted values and the actual values. A lower MAD indicates a more accurate forecasting model. The other options listed are forecasting methods, but do not directly measure the accuracy of a model.

Question 5

The annual multiplicative time-series model does not possess ________ component.&#10;A) a trend&#10;B) a cyclical&#10;C) an irregular&#10;D) a seasonal

Accepted Answer

The answer of The annual multiplicative time-series model does not...

Question 6

A model that can be used to make predictions about long-term future values of a time series is&#10;A) linear trend.&#10;B) quadratic trend.&#10;C) exponential trend.&#10;D) All of the above.

Accepted Answer

All of the above models (linear, quadratic, and exponential trends) can be used to make predictions about long-term future values of a time series, depending on the nature of the data and the specific trend it follows.

Question 7

The overall upward or downward pattern of the data in an annual time series will be contained in the ________ component.&#10;A) trend&#10;B) cyclical&#10;C) irregular&#10;D) seasonal

Accepted Answer

The trend component represents the overall upward or downward movement of the data over time.

Question 8

When a time series appears to be increasing at an increasing rate, such that percentage difference from observation to observation is constant, the appropriate model to fit is the&#10;A) linear trend.&#10;B) quadratic trend.&#10;C) exponential trend.&#10;D) None of the above.

Accepted Answer

An exponential trend is appropriate when the data increases at an increasing rate with a constant percentage change, indicating exponential growth.

Question 9

The fairly regular fluctuations that occur within each year would be contained in the ________ component.&#10;A) trend&#10;B) cyclical&#10;C) irregular&#10;D) seasonal

Accepted Answer

The fairly regular fluctuations that occur within a year are commonly known as seasonal fluctuations, and they are contained in the seasonal component. The trend component represents the long-term direction of a time series, while the cyclical component refers to fluctuations that occur beyond one year and irregular fluctuations have no specific pattern or timing.

Question 10

The method of moving averages is used&#10;A) to plot a series.&#10;B) to exponentiate a series.&#10;C) to smooth a series.&#10;D) in regression analysis.

Accepted Answer

Moving averages are used to smooth a series by calculating the average of a group of values over a specified period of time, which can help to reduce noise and highlight trends in the data.

Question 11

TABLE 16-1&#10;The number of cases of chardonnay wine sold by a Paso Robles winery in an 8-year period follows.&#10;  &#10;Referring to Table 16-1, does there appear to be a relationship between year and the number of cases of wine sold?&#10;A) No, there appears to be no relationship between the year and the number of cases of wine sold by the vintner.&#10;B) Yes, there appears to be a slight negative linear relationship between the year and the number of cases of wine sold by the vintner.&#10;C) Yes, there appears to be a slight positive relationship between the year and the number of cases of wine sold by the vintner.&#10;D) Yes, there appears to be a negative nonlinear relationship between the year and the number of cases of wine sold by the vintner.

Accepted Answer

The answer of TABLE 16-1&#10;The number of cases of chardonnay...

Question 12

When using the exponentially weighted moving average for purposes of forecasting rather than smoothing,&#10;A) the previous smoothed value becomes the forecast.&#10;B) the current smoothed value becomes the forecast.&#10;C) the next smoothed value becomes the forecast.&#10;D) None of the above.

Accepted Answer

The answer of When using the exponentially weighted moving average...

Question 13

You need to decide whether you should invest in a particular stock. You would like to invest if the price is likely to rise in the long run. You have data on the daily average price of this stock over the past 12 months. Your best action is to

A) compute moving averages.
B) perform exponential smoothing.
C) estimate a least square trend model.
D) compute the MAD statistic.

Accepted Answer

The answer of You need to decide whether you should...

Question 14

Which of the following methods should not be used for short-term forecasts into the future?&#10;A) exponential smoothing&#10;B) moving averages&#10;C) linear trend model&#10;D) autoregressive modeling

Accepted Answer

The answer of Which of the following methods should not...

Question 15

The effect of an unpredictable, rare event will be contained in the ________ component.&#10;A) trend&#10;B) cyclical&#10;C) irregular&#10;D) seasonal

Accepted Answer

The answer of The effect of an unpredictable, rare event...

Question 16

In selecting an appropriate forecasting model, the following approaches are suggested:&#10;A) Perform a residual analysis.&#10;B) Measure the size of the forecasting error.&#10;C) Use the principle of parsimony.&#10;D) All of the above.

Accepted Answer

The answer of In selecting an appropriate forecasting model, the...

Question 17

After estimating a trend model for annual time-series data, you obtain the following residual plot against time:   The problem with your model is that:&#10;A) The cyclical component has not been accounted for.&#10;B) The seasonal component has not been accounted for.&#10;C) The trend component has not been accounted for.&#10;D) The irregular component has not been accounted for.

Accepted Answer

The answer of After estimating a trend model for annual...

Question 18

The method of least squares is used on time-series data for&#10;A) eliminating irregular movements.&#10;B) deseasonalizing the data.&#10;C) obtaining the trend equation.&#10;D) exponentially smoothing a series.

Accepted Answer

The answer of The method of least squares is used...

Question 19

Based on the following scatter plot, which of the time-series components is not present in this quarterly time series?  &#10;A) trend&#10;B) seasonal&#10;C) cyclical&#10;D) irregular

Accepted Answer

The answer of Based on the following scatter plot, which...

Question 20

TABLE 16-1&#10;The number of cases of chardonnay wine sold by a Paso Robles winery in an 8-year period follows.&#10;  &#10;Referring to Table 16-1, set up a scatter diagram (i.e., a time-series plot) with year on the horizontal X-axis.

Accepted Answer

The answer of TABLE 16-1&#10;The number of cases of chardonnay...

Question 21

The following is the list of MAD statistics for each of the models you have estimated from time-series data:   Based on the MAD criterion, the most appropriate model is&#10;A) linear trend.&#10;B) quadratic trend.&#10;C) exponential trend.&#10;D) AR(2).

Accepted Answer

The answer of The following is the list of MAD...

Question 22

TABLE 16-3&#10;The following table contains the number of complaints received in a department store for the first 6 months of last year.&#10;  &#10;Referring to Table 16-3, suppose the last two smoothed values are 81 and 96 (Note: they are not). What would you forecast as the value of the time series for September?&#10;A) 81&#10;B) 86&#10;C) 91&#10;D) 96

Accepted Answer

The answer of TABLE 16-3&#10;The following table contains the number...

Question 23

TABLE 16-3&#10;The following table contains the number of complaints received in a department store for the first 6 months of last year.&#10;  &#10;Referring to Table 16-3, if this series is smoothed using exponential smoothing with a smoothing constant of 1/3, what would be the third value?&#10;A) 53&#10;B) 65.33&#10;C) 68&#10;D) 81

Accepted Answer

The answer of TABLE 16-3&#10;The following table contains the number...

Question 24

TABLE 16-3&#10;The following table contains the number of complaints received in a department store for the first 6 months of last year.&#10;  &#10;Referring to Table 16-3, if a three-month moving average is used to smooth this series, how many values would it have?&#10;A) 2&#10;B) 3&#10;C) 4&#10;D) 5

Accepted Answer

The answer of TABLE 16-3&#10;The following table contains the number...

Question 25

TABLE 16-3&#10;The following table contains the number of complaints received in a department store for the first 6 months of last year.&#10;  &#10;Referring to Table 16-3, if a three-month moving average is used to smooth this series, what would be the second calculated value?&#10;A) 36&#10;B) 40.5&#10;C) 54&#10;D) 72

Accepted Answer

The answer of TABLE 16-3&#10;The following table contains the number...

Question 26

TABLE 16-5
A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2006 to 2008. The following is the resulting regression equation:

Referring to Table 16-5, the best interpretation of the constant 3.37 in the regression equation is:

A) the fitted value for the first quarter of 2006, prior to seasonal adjustment, is log₁₀ 3.37.
B) the fitted value for the first quarter of 2006, after to seasonal adjustment, is log₁₀ 3.37.
C) the fitted value for the first quarter of 2006, prior to seasonal adjustment, is 10^3.37.
D) the fitted value for the first quarter of 2006, after to seasonal adjustment, is 10^3.37.

Accepted Answer

The answer of TABLE 16-5&#10;A contractor developed a multiplicative time-series...

Question 27

Which of the following terms describes the overall long-term tendency of a time series?&#10;A) trend&#10;B) cyclical component&#10;C) irregular component&#10;D) seasonal component

Accepted Answer

The answer of Which of the following terms describes the...

Question 28

TABLE 16-3&#10;The following table contains the number of complaints received in a department store for the first 6 months of last year.&#10;  &#10;Referring to Table 16-3, if a three-month moving average is used to smooth this series, what would be the last calculated value?&#10;A) 72&#10;B) 93&#10;C) 114&#10;D) 126

Accepted Answer

The answer of TABLE 16-3&#10;The following table contains the number...

Question 29

TABLE 16-2&#10;The monthly advertising expenditures of a department store chain (in $1,000,000s) were collected over the last decade. The last 14 months of this time series follows:&#10;  &#10;Referring to Table 16-2, set up a scatter diagram (i.e., time-series plot) with months on the horizontal X-axis.

Accepted Answer

The answer of TABLE 16-2&#10;The monthly advertising expenditures of a...

Question 30

TABLE 16-3&#10;The following table contains the number of complaints received in a department store for the first 6 months of last year.&#10;  &#10;Referring to Table 16-3, if this series is smoothed using exponential smoothing with a smoothing constant of 1/3, what would be the first value?&#10;A) 36&#10;B) 39&#10;C) 42&#10;D) 45

Accepted Answer

The answer of TABLE 16-3&#10;The following table contains the number...

Question 31

TABLE 16-4&#10;Given below are EXCEL outputs for various estimated autoregressive models for a company's real operating revenues (in billions of dollars) from 1985 to 2008. From the data, we also know that the real operating revenues for 2006, 2007, and 2008 are 11.7909, 11.7757 and 11.5537, respectively.&#10;AR(1) Model:&#10;   AR(2) Model:&#10;   AR(3) Model:&#10;  &#10;Referring to Table 16-4 and using a 5% level of significance, what is the appropriate AR model for the company's real operating revenue?&#10;A) AR(1)&#10;B) AR(2)&#10;C) AR(3)&#10;D) Any of the above.

Accepted Answer

The answer of TABLE 16-4&#10;Given below are EXCEL outputs for...

Question 32

After estimating a trend model for annual time-series data, you obtain the following residual plot against time:   The problem with your model is that&#10;A) the cyclical component has not been accounted for.&#10;B) the seasonal component has not been accounted for.&#10;C) the trend component has not been accounted for.&#10;D) the irregular component has not been accounted for.

Accepted Answer

The answer of After estimating a trend model for annual...

Question 33

If you want to recover the trend using exponential smoothing, you will choose a weight (W) that falls in the range&#10;A) [0, 0.2].&#10;B) [0.2, 0.4].&#10;C) [0.6, 0.8].&#10;D) [0.9, 1.0].

Accepted Answer

The answer of If you want to recover the trend...

Question 34

Which of the following terms describes the up and down movements of a time series that vary both in length and intensity?&#10;A) trend&#10;B) cyclical component&#10;C) irregular component&#10;D) seasonal component

Accepted Answer

The answer of Which of the following terms describes the...

Question 35

TABLE 16-3&#10;The following table contains the number of complaints received in a department store for the first 6 months of last year.&#10;  &#10;Referring to Table 16-3, if this series is smoothed using exponential smoothing with a smoothing constant of 1/3, what would be the second value?&#10;A) 39&#10;B) 42&#10;C) 45&#10;D) 53

Accepted Answer

The answer of TABLE 16-3&#10;The following table contains the number...

Question 36

TABLE 16-3&#10;The following table contains the number of complaints received in a department store for the first 6 months of last year.&#10;  &#10;Referring to Table 16-3, suppose the last two smoothed values are 81 and 96 (Note: they are not). What would you forecast as the value of the time series for July?&#10;A) 81&#10;B) 86&#10;C) 91&#10;D) 96

Accepted Answer

The answer of TABLE 16-3&#10;The following table contains the number...

Question 37

The cyclical component of a time series&#10;A) represents periodic fluctuations which reoccur within 1 year.&#10;B) represents periodic fluctuations which usually occur in 2 or more years.&#10;C) is obtained by adding up the seasonal indexes.&#10;D) is obtained by adjusting for calendar variation.

Accepted Answer

The answer of The cyclical component of a time series&#10;A)...

Question 38

TABLE 16-2&#10;The monthly advertising expenditures of a department store chain (in $1,000,000s) were collected over the last decade. The last 14 months of this time series follows:&#10;  &#10;Referring to Table 16-2, advertising expenditures appear to be increasing in a linear rather than curvilinear manner over time.

Accepted Answer

The answer of TABLE 16-2&#10;The monthly advertising expenditures of a...

Question 39

TABLE 16-4&#10;Given below are EXCEL outputs for various estimated autoregressive models for a company's real operating revenues (in billions of dollars) from 1985 to 2008. From the data, we also know that the real operating revenues for 2006, 2007, and 2008 are 11.7909, 11.7757 and 11.5537, respectively.&#10;AR(1) Model:&#10;   AR(2) Model:&#10;   AR(3) Model:&#10;  &#10;Referring to Table 16-4, if one decides to use AR(3), what will the predicted real operating revenue for the company be in 2011?&#10;A) $11.59 billion&#10;B) $11.68 billion&#10;C) $11.84 billion&#10;D) $12.47 billion

Accepted Answer

The answer of TABLE 16-4&#10;Given below are EXCEL outputs for...

Question 40

TABLE 16-3&#10;The following table contains the number of complaints received in a department store for the first 6 months of last year.&#10;  &#10;Referring to Table 16-3, if this series is smoothed using exponential smoothing with a smoothing constant of 1/3, how many values would it have?&#10;A) 3&#10;B) 4&#10;C) 5&#10;D) 6

Accepted Answer

The answer of TABLE 16-3&#10;The following table contains the number...

Question 41

The MAD is a measure of the average of the absolute discrepancies between the actual and the fitted values in a given time series.

Accepted Answer

The answer of The MAD is a measure of the...

Question 42

TABLE 16-5
A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2006 to 2008. The following is the resulting regression equation:

Referring to Table 16-5, to obtain a forecast for the fourth quarter of 2009 using the model, which of the following sets of values should be used in the regression equation?

A) X = 15, Q₁ = 0, Q₂ = 0, Q₃ = 0
B) X = 15, Q₁ = 1, Q₂ = 0, Q₃ = 0
C) X = 16, Q₁ = 0, Q₂ = 0, Q₃ = 0
D) X = 16, Q₁ = 1, Q₂ = 0, Q₃ = 0

Accepted Answer

The answer of TABLE 16-5&#10;A contractor developed a multiplicative time-series...

Question 43

If a time series does not exhibit a long-term trend, the method of exponential smoothing may be used to obtain short-term predictions about the future.

Accepted Answer

The answer of If a time series does not exhibit...

Question 44

TABLE 16-5
A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2006 to 2008. The following is the resulting regression equation:

Referring to Table 16-5, to obtain a forecast for the first quarter of 2009 using the model, which of the following sets of values should be used in the regression equation?

A) X = 12, Q₁ = 0, Q₂ = 0, Q₃ = 0
B) X = 12, Q₁ = 1, Q₂ = 0, Q₃ = 0
C) X = 13, Q₁ = 0, Q₂ = 0, Q₃ = 0
D) X = 13, Q₁ = 1, Q₂ = 0, Q₃ = 0

Accepted Answer

The answer of TABLE 16-5&#10;A contractor developed a multiplicative time-series...

Question 45

A trend is a persistent pattern in annual time-series data that has to be followed for several years.

Accepted Answer

The answer of A trend is a persistent pattern in...

Question 46

A least squares linear trend line is just a simple regression line with the years recoded.

Accepted Answer

The answer of A least squares linear trend line is...

Question 47

TABLE 16-5&#10;A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2006 to 2008. The following is the resulting regression equation:&#10;    &#10;Referring to Table 16-5, using the regression equation, which of the following values is the best forecast for the number of contracts in the third quarter of 2009?&#10;A) 49091&#10;B) 133352&#10;C) 421697&#10;D) 1482518

Accepted Answer

The answer of TABLE 16-5&#10;A contractor developed a multiplicative time-series...

Question 48

Given a data set with 15 yearly observations, there are only seven 9-year moving averages.

Accepted Answer

The answer of Given a data set with 15 yearly...

Question 49

TABLE 16-5
A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2006 to 2008. The following is the resulting regression equation:

Referring to Table 16-5, in testing the coefficient for Q₁ in the regression equation (-0.083), the results were a t-statistic of -0.66 and an associated p-value of 0.530. Which of the following is the best interpretation of this result?

A) The number of contracts in the first quarter of the year is significantly different from the number of contracts in an average quarter (α = 0.05).
B) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in an average quarter (α = 0.05).
C) The number of contracts in the first quarter of the year is significantly different from the number of contracts in the fourth quarter for a given coded quarterly value of X (α = 0.05).
D) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in the fourth quarter for a given coded quarterly value of X (α = 0.05).

Accepted Answer

The answer of TABLE 16-5&#10;A contractor developed a multiplicative time-series...

Question 50

MAD is the summation of the residuals divided by the sample size.

Accepted Answer

The answer of MAD is the summation of the residuals...

Question 51

In selecting a forecasting model, we should perform a residual analysis.

Accepted Answer

The answer of In selecting a forecasting model, we should...

Question 52

TABLE 16-5&#10;A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2006 to 2008. The following is the resulting regression equation:&#10;    &#10;Referring to Table 16-5, using the regression equation, which of the following values is the best forecast for the number of contracts in the second quarter of 2010?&#10;A) 144212&#10;B) 391742&#10;C) 1238797&#10;D) 4355119

Accepted Answer

The answer of TABLE 16-5&#10;A contractor developed a multiplicative time-series...

Question 53

The principle of parsimony indicates that the simplest model that gets the job done adequately should be used.

Accepted Answer

The answer of The principle of parsimony indicates that the...

Question 54

TABLE 16-5&#10;A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2006 to 2008. The following is the resulting regression equation:&#10;    &#10;Referring to Table 16-5, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000. Which of the following is the best interpretation of this result?&#10;A) The quarterly growth rate in the number of contracts is significantly different from 0% (&#945; = 0.05).&#10;B) The quarterly growth rate in the number of contracts is not significantly different from 0% (&#945; = 0.05).&#10;C) The quarterly growth rate in the number of contracts is significantly different from 100% (&#945; = 0.05).&#10;D) The quarterly growth rate in the number of contracts is not significantly different from 100% (&#945; = 0.05).

Accepted Answer

The answer of TABLE 16-5&#10;A contractor developed a multiplicative time-series...

Question 55

Each forecast using the method of exponential smoothing depends on all the previous observations in the time series.

Accepted Answer

The answer of Each forecast using the method of exponential...

Question 56

TABLE 16-5
A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2006 to 2008. The following is the resulting regression equation:

Referring to Table 16-5, the best interpretation of the coefficient of Q₃ (0.617) in the regression equation is:

A) the number of contracts in the third quarter of a year is approximately 62% higher than the average over all 4 quarters.
B) the number of contracts in the third quarter of a year is approximately 62% higher than it would be during the fourth quarter.
C) the number of contracts in the third quarter of a year is approximately 314% higher than the average over all 4 quarters.
D) the number of contracts in the third quarter of a year is approximately 314% higher than it would be during the fourth quarter.

Accepted Answer

The answer of TABLE 16-5&#10;A contractor developed a multiplicative time-series...

Question 57

The method of least squares may be used to estimate both linear and curvilinear trends.

Accepted Answer

The answer of The method of least squares may be...

Question 58

TABLE 16-5&#10;A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2006 to 2008. The following is the resulting regression equation:&#10;    &#10;Referring to Table 16-5, the best interpretation of the coefficient of X (0.117) in the regression equation is:&#10;A) the quarterly compound growth rate in contracts is around 30.92%.&#10;B) the annual compound growth rate in contracts is around 30.92%.&#10;C) the quarterly compound growth rate in contracts is around 11.7%.&#10;D) the annual compound growth rate in contracts is around 11.7%.

Accepted Answer

The answer of TABLE 16-5&#10;A contractor developed a multiplicative time-series...

Question 59

Given a data set with 15 yearly observations, a 3-year moving average will have fewer observations than a 5-year moving average.

Accepted Answer

The answer of Given a data set with 15 yearly...

Question 60

Given a data set with 15 yearly observations, there are only thirteen 3-year moving averages.

Accepted Answer

The answer of Given a data set with 15 yearly...

Question 61

TABLE 16-6 The number of cases of merlot wine sold by a Paso Robles winery in an 8-year period follows. Referring to Table 16-6, exponential smoothing with a weight or smoothing constant of 0.4 will be used to smooth the wine sales. The value of E₅, the smoothed value for 2005 is ________.

Accepted Answer

The answer of TABLE 16-6&#10;The number of cases of merlot...

Question 62

TABLE 16-6&#10;The number of cases of merlot wine sold by a Paso Robles winery in an 8-year period follows.&#10;  &#10;Referring to Table 16-6, exponential smoothing with a weight or smoothing constant of 0.4 will be used to forecast wine sales. The forecast for 2009 is ________.

Accepted Answer

The answer of TABLE 16-6&#10;The number of cases of merlot...

Question 63

TABLE 16-6 The number of cases of merlot wine sold by a Paso Robles winery in an 8-year period follows. Referring to Table 16-6, exponential smoothing with a weight or smoothing constant of 0.2 will be used to smooth the wine sales. The value of E₄, the smoothed value for 2004 is ________.

Accepted Answer

The answer of TABLE 16-6&#10;The number of cases of merlot...

Question 64

TABLE 16-6&#10;The number of cases of merlot wine sold by a Paso Robles winery in an 8-year period follows.&#10;  &#10;Referring to Table 16-6, a centered 3-year moving average is to be constructed for the wine sales. The result of this process will lead to a total of ________ moving averages.

Accepted Answer

The answer of TABLE 16-6&#10;The number of cases of merlot...

Deck 16: Time-Series Analysis and Index Numbers