1What does demand estimation primarily involve for a firm?
relevance of demand estimation for a firm
Easy
A.Quantifying the relationship between demand and its determinants
B.Reducing the total cost of production
C.Setting the highest possible price for a product
D.Increasing the number of employees hired
Correct Answer: Quantifying the relationship between demand and its determinants
Explanation:
Demand estimation is the process of measuring and quantifying how demand responds to factors such as price, income, and prices of related goods.
Incorrect! Try again.
2Why is demand estimation important for a firm's production planning?
relevance of demand estimation for a firm
Easy
A.It fixes wages of workers automatically
B.It eliminates all business risk permanently
C.It reduces taxes payable to the government
D.It helps decide how much output to produce
Correct Answer: It helps decide how much output to produce
Explanation:
By estimating expected demand, a firm can plan production levels to avoid overproduction or shortages.
Incorrect! Try again.
3Demand forecasting mainly helps a firm to predict:
relevance of demand estimation for a firm
Easy
A.Employee attendance records
B.Past profits of competitors
C.The exact inflation rate of a country
D.Future demand for its products
Correct Answer: Future demand for its products
Explanation:
Demand forecasting estimates the likely future demand so that firms can prepare accordingly.
Incorrect! Try again.
4Which of the following business decisions is directly supported by demand estimation?
relevance of demand estimation for a firm
Easy
A.Inventory and stock management
B.Selecting the company logo font
C.Choosing the office wall colour
D.Deciding the CEO's personal schedule
Correct Answer: Inventory and stock management
Explanation:
Accurate demand estimates help firms maintain appropriate inventory levels, avoiding excess stock or stockouts.
Incorrect! Try again.
5Demand estimation assists in pricing decisions because it reveals:
relevance of demand estimation for a firm
Easy
A.The salary structure of managers
B.How sensitive demand is to price changes
C.The color preferences of employees
D.The location of raw material suppliers
Correct Answer: How sensitive demand is to price changes
Explanation:
Understanding demand sensitivity (elasticity) allows firms to set prices that maximize revenue or profit.
Incorrect! Try again.
6Qualitative forecasting methods rely mainly on:
demand forecasting using qualitative forecast and time series analysis
Easy
A.Complex regression equations
B.Large historical numerical datasets
C.Random number generation
D.Expert opinions and judgment
Correct Answer: Expert opinions and judgment
Explanation:
Qualitative methods use subjective inputs such as expert opinions, experience, and judgment rather than heavy numerical data.
Incorrect! Try again.
7The Delphi method is an example of which type of forecasting?
demand forecasting using qualitative forecast and time series analysis
Easy
A.Qualitative forecasting
B.Regression forecasting
C.Barometric forecasting
D.Time series forecasting
Correct Answer: Qualitative forecasting
Explanation:
The Delphi method gathers and refines expert opinions through rounds of questionnaires, making it a qualitative technique.
Incorrect! Try again.
8Which method involves asking a panel of experts and reaching consensus through repeated anonymous questionnaires?
demand forecasting using qualitative forecast and time series analysis
Easy
A.Delphi method
B.Simple moving average
C.Trend projection
D.Exponential smoothing
Correct Answer: Delphi method
Explanation:
The Delphi method repeatedly surveys experts anonymously and feeds back results until a consensus emerges.
Incorrect! Try again.
9A time series is a set of data arranged in order of:
demand forecasting using qualitative forecast and time series analysis
Easy
A.Time
B.Price
C.Size
D.Alphabet
Correct Answer: Time
Explanation:
A time series is a sequence of observations recorded at successive, ordered points in time.
Incorrect! Try again.
10Which of the following is a component of a time series?
demand forecasting using qualitative forecast and time series analysis
Easy
A.Elasticity
B.Consumer surplus
C.Marginal cost
D.Trend
Correct Answer: Trend
Explanation:
The main components of a time series are trend, seasonal, cyclical, and irregular variations.
Incorrect! Try again.
11The long-term general movement of data in a time series is called the:
demand forecasting using qualitative forecast and time series analysis
Easy
A.Trend
B.Noise
C.Cycle
D.Season
Correct Answer: Trend
Explanation:
The trend represents the smooth, long-term upward or downward tendency of the data over time.
Incorrect! Try again.
12Regular fluctuations that repeat within a year, such as higher ice-cream sales in summer, are called:
demand forecasting using qualitative forecast and time series analysis
Easy
A.Random variations
B.Seasonal variations
C.Trend variations
D.Cyclical variations
Correct Answer: Seasonal variations
Explanation:
Seasonal variations are patterns that recur at fixed periods within a year, often due to weather or festivals.
Incorrect! Try again.
13Wave-like fluctuations that occur over periods longer than a year, linked to business booms and recessions, are called:
demand forecasting using qualitative forecast and time series analysis
Easy
A.Cyclical variations
B.Seasonal variations
C.Secular variations
D.Trend variations
Correct Answer: Cyclical variations
Explanation:
Cyclical variations are long-term fluctuations associated with the ups and downs of the business cycle.
Incorrect! Try again.
14Unpredictable, irregular changes in a time series caused by events like floods or strikes are known as:
demand forecasting using qualitative forecast and time series analysis
Easy
A.Seasonal variations
B.Trend variations
C.Random (irregular) variations
D.Cyclical variations
Correct Answer: Random (irregular) variations
Explanation:
Random or irregular variations are unpredictable movements caused by unforeseen and non-recurring events.
Incorrect! Try again.
15The moving average method in time series analysis is mainly used to:
demand forecasting using qualitative forecast and time series analysis
Easy
A.Eliminate all future demand
B.Increase random noise in data
C.Calculate marginal revenue
D.Smooth out short-term fluctuations
Correct Answer: Smooth out short-term fluctuations
Explanation:
A moving average averages successive groups of data points to reduce short-term fluctuations and reveal the underlying trend.
Incorrect! Try again.
16In the consumer survey method of forecasting, information is collected by:
demand forecasting using qualitative forecast and time series analysis
Easy
A.Directly asking consumers about buying intentions
B.Fitting a regression line to sales data
C.Applying exponential smoothing formulas
D.Analyzing years of production records
Correct Answer: Directly asking consumers about buying intentions
Explanation:
Consumer survey methods gather forecasts by directly questioning potential buyers about their intended purchases.
Incorrect! Try again.
17Which of the following is a qualitative forecasting technique?
demand forecasting using qualitative forecast and time series analysis
Easy
A.Moving average method
B.Sales force opinion method
C.Exponential smoothing method
D.Least squares trend method
Correct Answer: Sales force opinion method
Explanation:
The sales force opinion method relies on the judgment of salespeople, making it a qualitative technique.
Incorrect! Try again.
18The trend line fitted using the least squares method takes the general form:
demand forecasting using qualitative forecast and time series analysis
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
The linear trend equation is , where is the intercept and is the slope over time .
Incorrect! Try again.
19Which forecasting approach is most suitable when there is no historical data for a brand-new product?
demand forecasting using qualitative forecast and time series analysis
Easy
A.Time series analysis
B.Trend projection method
C.Qualitative methods
D.Moving average method
Correct Answer: Qualitative methods
Explanation:
For new products without past data, qualitative methods based on expert judgment and surveys are preferred since time series methods need historical data.
Incorrect! Try again.
20Accurate demand estimation helps a firm reduce:
relevance of demand estimation for a firm
Easy
A.The demand for its goods
B.The quality of its products
C.The number of customers permanently
D.The risk of wrong decisions
Correct Answer: The risk of wrong decisions
Explanation:
By providing better information about likely demand, estimation reduces uncertainty and the risk of poor business decisions.
Incorrect! Try again.
21A firm launching a new product wants to decide on plant capacity for the next five years. Which use of demand estimation is MOST directly relevant to this decision?
relevance of demand estimation for a firm
Medium
A.Choosing the office layout for the sales team
B.Long-term production planning and capacity investment
C.Setting the daily cash register float
D.Deciding the color of product packaging
Correct Answer: Long-term production planning and capacity investment
Explanation:
Estimating future demand over several years helps a firm plan the scale of production facilities and capital investment, avoiding both under-capacity and idle capacity.
Incorrect! Try again.
22Why is accurate demand estimation particularly important for a firm holding perishable inventory?
relevance of demand estimation for a firm
Medium
A.It increases the shelf life of the product automatically
B.It removes the need to advertise the product entirely
C.It minimizes losses from spoilage due to over-stocking while avoiding stock-outs
D.It guarantees a fixed selling price throughout the year
Correct Answer: It minimizes losses from spoilage due to over-stocking while avoiding stock-outs
Explanation:
Perishables cannot be stored long, so matching supply to estimated demand reduces spoilage losses while still meeting customer needs.
Incorrect! Try again.
23A manager uses demand estimates to schedule raw material purchases and labor shifts for the coming quarter. This reflects the role of demand estimation in:
relevance of demand estimation for a firm
Medium
A.Short-term operational planning
B.Long-run merger strategy
C.Corporate tax filing
D.Brand trademark registration
Correct Answer: Short-term operational planning
Explanation:
Scheduling inputs and labor for the near term is a short-run operational decision that relies on short-term demand forecasts.
Incorrect! Try again.
24Which statement BEST explains how demand estimation supports pricing decisions?
relevance of demand estimation for a firm
Medium
A.It eliminates competition from the market
B.It replaces the need for a marketing department
C.Knowing the price elasticity of demand helps the firm predict how a price change affects quantity sold and total revenue
D.It fixes the cost of production regardless of output
Correct Answer: Knowing the price elasticity of demand helps the firm predict how a price change affects quantity sold and total revenue
Explanation:
Demand estimation yields elasticity information, letting managers judge whether raising or lowering price will raise or lower revenue.
Incorrect! Try again.
25A firm entering a brand-new market with no historical sales data would MOST appropriately use which forecasting approach?
demand forecasting using qualitative forecast and time series analysis
Medium
A.Qualitative methods such as expert opinion or Delphi
B.Least-squares trend line
C.Exponential smoothing
D.Moving average of past sales
Correct Answer: Qualitative methods such as expert opinion or Delphi
Explanation:
Time series methods require historical data. With none available, qualitative methods relying on expert judgment are the practical choice.
Incorrect! Try again.
26In the Delphi method, why are experts kept anonymous during the rounds of questioning?
demand forecasting using qualitative forecast and time series analysis
Medium
A.To avoid the need for multiple survey rounds
B.To lower the cost of hiring the experts
C.To reduce the influence of dominant personalities and group pressure on the responses
D.To speed up the mathematical calculations
Correct Answer: To reduce the influence of dominant personalities and group pressure on the responses
Explanation:
Anonymity in the Delphi technique prevents bandwagon effects and lets each expert revise estimates based on reasoning rather than social pressure.
Incorrect! Try again.
27A time series is typically decomposed into four components. Which of the following is NOT one of them?
demand forecasting using qualitative forecast and time series analysis
Medium
A.Cyclical variation
B.Trend
C.Seasonal variation
D.Elasticity
Correct Answer: Elasticity
Explanation:
The four classical time series components are trend, seasonal, cyclical, and irregular (random) variation. Elasticity is a demand concept, not a time series component.
Incorrect! Try again.
28Sales of umbrellas rise sharply every monsoon and fall in dry months, repeating each year. This pattern is an example of which time series component?
demand forecasting using qualitative forecast and time series analysis
Medium
A.Seasonal variation
B.Secular trend
C.Irregular variation
D.Cyclical variation
Correct Answer: Seasonal variation
Explanation:
Regular, calendar-based fluctuations that repeat within a year (such as monsoon-driven sales) are classified as seasonal variation.
Incorrect! Try again.
29The following are quarterly sales (in units): 40, 44, 48, 52. Using a 4-quarter simple moving average, the forecast for the next period is:
demand forecasting using qualitative forecast and time series analysis
Medium
A.48
B.44
C.46
D.52
Correct Answer: 46
Explanation:
The moving average is units.
Incorrect! Try again.
30In exponential smoothing, the forecast for the next period is . What does a smoothing constant close to 1 imply?
demand forecasting using qualitative forecast and time series analysis
Medium
A.The forecast ignores recent demand completely
B.The forecast reacts strongly to recent actual demand
C.The forecast equals the long-run trend line
D.The forecast is a simple unweighted average
Correct Answer: The forecast reacts strongly to recent actual demand
Explanation:
A high places more weight on the most recent actual value , making the forecast more responsive to recent changes.
Incorrect! Try again.
31Given the last forecast , actual demand , and smoothing constant , the exponential smoothing forecast for the next period is:
demand forecasting using qualitative forecast and time series analysis
Medium
A.120
B.106
C.110
D.114
Correct Answer: 106
Explanation:
units.
Incorrect! Try again.
32A least-squares trend line estimated from annual data is , where in the base year. The forecast sales for is:
demand forecasting using qualitative forecast and time series analysis
Medium
A.260
B.215
C.290
D.306
Correct Answer: 290
Explanation:
units.
Incorrect! Try again.
33Which situation reflects the cyclical component of a time series rather than the seasonal component?
demand forecasting using qualitative forecast and time series analysis
Medium
A.Increased toy sales during festival weeks
B.Higher ice-cream sales each summer
C.A multi-year swing in car sales linked to the general expansion and recession of the economy
D.A jump in gift sales every December
Correct Answer: A multi-year swing in car sales linked to the general expansion and recession of the economy
Explanation:
Cyclical variation spans multiple years and is tied to business-cycle expansions and contractions, unlike within-year seasonal patterns.
Incorrect! Try again.
34A major limitation of the simple moving average method for demand forecasting is that it:
demand forecasting using qualitative forecast and time series analysis
Medium
A.Gives equal weight to all periods and lags behind sharp turning points in demand
B.Requires no historical data at all to compute
C.Predicts turning points before they occur
D.Automatically adjusts for seasonal factors
Correct Answer: Gives equal weight to all periods and lags behind sharp turning points in demand
Explanation:
Because it weights all included periods equally, the moving average smooths the series but responds slowly to sudden changes, lagging behind turning points.
Incorrect! Try again.
35The "survey of buyers' intentions" method of forecasting is classified as which type of technique?
demand forecasting using qualitative forecast and time series analysis
Medium
A.Econometric
B.Barometric
C.Time series
D.Qualitative
Correct Answer: Qualitative
Explanation:
Asking potential customers about their buying plans relies on stated opinions and intentions, making it a qualitative (survey-based) method.
Incorrect! Try again.
36How does reliable demand estimation help a firm control its inventory costs?
relevance of demand estimation for a firm
Medium
A.It converts fixed costs into variable costs
B.It removes the need to store any inventory
C.It fixes supplier prices for the whole year
D.It allows the firm to align stock levels with expected sales, reducing both carrying and shortage costs
Correct Answer: It allows the firm to align stock levels with expected sales, reducing both carrying and shortage costs
Explanation:
Matching inventory to estimated demand keeps holding costs low while avoiding costly stock-outs, improving overall inventory efficiency.
Incorrect! Try again.
37In the "sales force composite" method, forecasts are built by:
demand forecasting using qualitative forecast and time series analysis
Medium
A.Aggregating estimates made by field salespeople about their territories
B.Using leading economic indicators to signal turning points
C.Applying exponential smoothing to past sales
D.Fitting a regression line to national income data
Correct Answer: Aggregating estimates made by field salespeople about their territories
Explanation:
The sales force composite is a qualitative method that combines individual salespeople's judgments about likely demand in their regions.
Incorrect! Try again.
38Annual sales grow by a roughly constant amount each year over a long period with no reversals. This long-run movement is best captured by which time series component?
demand forecasting using qualitative forecast and time series analysis
Medium
A.Secular trend
B.Seasonal variation
C.Cyclical variation
D.Irregular variation
Correct Answer: Secular trend
Explanation:
The secular trend describes the long-term, smooth, underlying direction of a series over an extended period.
Incorrect! Try again.
39A one-time drop in sales caused by an unexpected flood that closed the factory would be recorded in a time series as:
demand forecasting using qualitative forecast and time series analysis
Medium
A.Irregular (random) variation
B.Seasonal variation
C.Trend
D.Cyclical variation
Correct Answer: Irregular (random) variation
Explanation:
Unpredictable, one-off events such as floods or strikes produce irregular variation, which does not follow a repeating pattern.
Incorrect! Try again.
40A firm wants a short-run forecast that responds quickly to recent demand shifts using minimal past data. Which method is most suitable?
demand forecasting using qualitative forecast and time series analysis
Medium
A.Survey of buyers' intentions
B.Exponential smoothing
C.Delphi method
D.Long-run least-squares trend projection
Correct Answer: Exponential smoothing
Explanation:
Exponential smoothing is a time series technique well suited to short-run forecasting, weighting recent data more heavily while requiring little stored history.
Incorrect! Try again.
41A firm fits a multiplicative time series model . If the trend value for Q3 is , the seasonal index for Q3 is , and the cyclical relative is , what is the deseasonalized-and-detrended cyclical-adjusted expected value (ignoring the irregular component)?
demand forecasting using qualitative forecast and time series analysis
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Expected value . The irregular component is assumed to average and is excluded.
Incorrect! Try again.
42In the ratio-to-moving-average method, a quarterly seasonal index is computed as . If the sum of the four raw quarterly indices is instead of , what is the adjusted index for that quarter?
demand forecasting using qualitative forecast and time series analysis
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Seasonal indices must sum to the number of periods (4). Adjustment factor . Adjusted index .
Incorrect! Try again.
43A linear trend is fitted using coded time where at 2020. The multiplicative seasonal index for Q2 is . What is the forecast for Q2 of 2024 if increments by 1 per year and the annual trend must be divided across quarters equally?
demand forecasting using qualitative forecast and time series analysis
Hard
44Using exponential smoothing with , the forecast for period was and actual demand was . Applying the same smoothing constant, what is the forecast error's contribution to the next forecast?
demand forecasting using qualitative forecast and time series analysis
Hard
A.An increase of over the prior forecast
B.A decrease of from the prior forecast
C.An increase of over the prior forecast
D.An increase of over the prior forecast
Correct Answer: An increase of over the prior forecast
Explanation:
. The error contributes .
Incorrect! Try again.
45A firm compares two exponential smoothing models with and . During a period of sudden, sustained level shift in demand, which statement is most accurate?
demand forecasting using qualitative forecast and time series analysis
Hard
A. smooths out random noise more effectively
B.Both models converge to the new level at the same speed
C. adapts faster but produces noisier forecasts under random fluctuation
D. adapts faster and is more stable
Correct Answer: adapts faster but produces noisier forecasts under random fluctuation
Explanation:
A high weights recent observations heavily, so it tracks level shifts quickly but also over-reacts to random noise. A low smooths noise but lags behind real changes.
Incorrect! Try again.
46A firm with high fixed costs and long production lead times most critically depends on accurate demand estimation primarily because:
relevance of demand estimation for a firm
Hard
A.It eliminates the need for inventory management entirely
B.Forecast errors translate into costly excess capacity or stockouts that cannot be quickly corrected
C.It guarantees that marginal cost equals marginal revenue
D.It allows the firm to raise prices above the competitive level
Correct Answer: Forecast errors translate into costly excess capacity or stockouts that cannot be quickly corrected
Explanation:
With high fixed costs and long lead times, capacity decisions are locked in advance. Poor forecasts create either idle capacity (unrecovered fixed cost) or lost sales, and adjustment is slow and expensive.
Incorrect! Try again.
47In the Delphi method, why is controlled feedback with anonymity considered superior to a face-to-face expert panel for demand forecasting?
demand forecasting using qualitative forecast and time series analysis
Hard
A.It removes the need for multiple forecasting rounds
B.It reduces bandwagon effects and dominance by high-status individuals while retaining information exchange
C.It replaces subjective judgment with statistical regression
D.It always produces a single unanimous point estimate
Correct Answer: It reduces bandwagon effects and dominance by high-status individuals while retaining information exchange
Explanation:
Anonymity and iterative feedback let experts revise views based on group information without social pressure, mitigating groupthink and dominance biases that distort open panels.
Incorrect! Try again.
48A 4-period centered moving average is used on quarterly data. Why must the average be centered (using a 2-step averaging of successive 4-quarter means) rather than used directly?
demand forecasting using qualitative forecast and time series analysis
Hard
A.A raw 4-period average overweights the most recent quarter
B.A 4-period average falls between two quarters, so centering realigns it to a specific quarter
C.Centering doubles the effective sample size
D.Centering removes the trend component from the series
Correct Answer: A 4-period average falls between two quarters, so centering realigns it to a specific quarter
Explanation:
An even-order moving average is positioned between two time points. Averaging two adjacent 4-quarter means centers the value on an actual quarter, allowing proper ratio-to-moving-average computation.
Incorrect! Try again.
49Given the semi-log trend model , what is the estimated compound growth rate of demand per period?
demand forecasting using qualitative forecast and time series analysis
Hard
A.
B.Exactly
C.
D.
Correct Answer:
Explanation:
In a semi-log model the growth rate is , or about , not simply the coefficient .
Incorrect! Try again.
50Two forecasting models yield the following errors over 4 periods: Model A , Model B . Comparing on MAD, which is preferred and why?
demand forecasting using qualitative forecast and time series analysis
Hard
A.Model A because its errors sum closer to zero
B.Model B (MAD ) beats Model A (MAD )
C.Model A (MAD ) beats Model B (MAD )
D.Both have identical MAD of
Correct Answer: Model B (MAD ) beats Model A (MAD )
Explanation:
MAD averages absolute errors. Model A: . Model B: . Lower MAD (Model B) means better fit, even though Model A's signed errors nearly cancel.
Incorrect! Try again.
51A firm's demand series shows errors that consistently under-forecast (positive errors accumulate). Which tracking measure best detects this bias, and what does it reveal that MAD hides?
demand forecasting using qualitative forecast and time series analysis
Hard
A.MAPE reveals the direction of error
B.The coefficient of determination reveals the seasonal pattern
D.The tracking signal (cumulative error / MAD) reveals systematic bias that MAD cannot
Correct Answer: The tracking signal (cumulative error / MAD) reveals systematic bias that MAD cannot
Explanation:
MAD uses absolute values and ignores error direction. The tracking signal accumulates signed errors relative to MAD, so a growing signal exposes persistent over- or under-forecasting bias.
Incorrect! Try again.
52A firm estimates demand elasticity to guide pricing. It finds . If it wrongly treats demand as elastic and cuts price to boost revenue, the likely outcome is:
relevance of demand estimation for a firm
Hard
A.Total revenue falls because demand is inelastic
B.Total revenue rises because quantity increases sharply
C.Marginal revenue becomes positive and revenue rises
D.Total revenue stays constant regardless of the price cut
Correct Answer: Total revenue falls because demand is inelastic
Explanation:
With demand is inelastic; a price cut reduces revenue since the proportional quantity gain is smaller than the price drop. Accurate estimation prevents this error.
Incorrect! Try again.
53A least-squares linear trend is fitted with coded time so that . Given , , , and , what is the fitted trend equation?
demand forecasting using qualitative forecast and time series analysis
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
With : and . Thus .
Incorrect! Try again.
54Why can extrapolating a fitted time-series trend far into the future be dangerous even when the historical fit () is very high?
demand forecasting using qualitative forecast and time series analysis
Hard
A.Extrapolation always produces negative values eventually
B.A high guarantees the wrong slope
C.It assumes the underlying structural relationships remain unchanged, which may fail
D.Trend models cannot include a seasonal component
Correct Answer: It assumes the underlying structural relationships remain unchanged, which may fail
Explanation:
Trend extrapolation projects past patterns forward and assumes structural stability. A high in-sample says nothing about future shifts in technology, competition, or consumer behavior.
Incorrect! Try again.
55A quadratic trend is estimated (coded time). At what value of does forecasted demand peak, and what is the peak value?
demand forecasting using qualitative forecast and time series analysis
Hard
A.Peak at , value
B.Peak at , value
C.Peak at , value
D.Peak at , value
Correct Answer: Peak at , value
Explanation:
Peak where . Value .
Incorrect! Try again.
56For a firm launching a genuinely new product with no historical sales data, which forecasting approach is most defensible and why?
relevance of demand estimation for a firm
Hard
A.Exponential smoothing initialized at zero
B.A centered moving average of competitor prices
C.Qualitative methods such as market surveys and expert opinion, since no time series exists
D.Naive time series extrapolation of the launch month
Correct Answer: Qualitative methods such as market surveys and expert opinion, since no time series exists
Explanation:
Time series methods require historical data. For a novel product with none, qualitative techniques (surveys, expert judgment, Delphi, analog products) are the appropriate starting point.
Incorrect! Try again.
57A firm uses a weighted moving average with weights (most recent to oldest) on demand ordered oldest to newest. What is the forecast for the next period?
demand forecasting using qualitative forecast and time series analysis
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Most recent value ? Order oldest-to-newest is , so newest gets weight ? Re-reading: newest gets . Forecast . Wait—weights map most-recent-to-oldest onto newest-to-oldest: .
Incorrect! Try again.
58Under the additive time series model versus the multiplicative model , which situation favors the multiplicative form?
demand forecasting using qualitative forecast and time series analysis
Hard
A.When the irregular component dominates
B.When seasonal swings are constant in absolute size regardless of level
C.When there is no trend at all
D.When seasonal swings grow proportionally as the trend level rises
Correct Answer: When seasonal swings grow proportionally as the trend level rises
Explanation:
The multiplicative model captures seasonality as a percentage of the trend, so it suits series where the amplitude of seasonal fluctuation increases with the level. The additive model fits constant-amplitude seasonality.
Incorrect! Try again.
59A demand series has actual and forecast pairs giving absolute percentage errors of over four periods. What is the MAPE, and what is its key interpretive limitation here?
demand forecasting using qualitative forecast and time series analysis
Hard
A.MAPE ; it is scale-dependent
B.MAPE ; it ignores the sign of errors only
C.MAPE ; it is dominated by the maximum error
D.MAPE ; it can be distorted when any actual value is small
Correct Answer: MAPE ; it can be distorted when any actual value is small
Explanation:
MAPE . Because each term divides by the actual value, very small actuals inflate individual percentage errors and can distort the overall MAPE.
Incorrect! Try again.
60A manager argues that because demand estimation is always subject to error, the firm should abandon forecasting and simply react to realized demand. The strongest counterargument is:
relevance of demand estimation for a firm
Hard
A.Estimation errors always cancel out over time
B.Reacting to realized demand guarantees zero holding cost
C.Forecasting eliminates all uncertainty in the market
D.Even imperfect forecasts reduce the expected cost of capacity, inventory, and procurement decisions made under lead times
Correct Answer: Even imperfect forecasts reduce the expected cost of capacity, inventory, and procurement decisions made under lead times
Explanation:
Decisions with lead times must be made before demand is known. A reasonable forecast, though imperfect, lowers expected mismatch costs versus purely reactive planning, which cannot pre-position resources.
Incorrect! Try again.
Did this save you a night before the exam?
LPU Notes is free, and it stays free. Ads cover part of the server bill.
The rest comes out of a student's own pocket: the domain, the storage,
and keeping the site up through the weeks everyone needs it at once.
The payment button didn't load. An ad blocker or a filtered network is the usual reason.
to try again.
Nothing here is ever locked, and nothing unlocks. Chip in only if it was worth it.
What it pays for →