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In a regression equation where y-hat is demand and x is advertising, a coefficient of determination (R2) of .70 means that 70% of the variance in advertising is explained by demand.

A) True
B) False

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Explain, in your own words, the meaning of the coefficient of determination.

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The coefficient of determinati...

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________ forecasts use a series of past data points to make a forecast.

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Give an example, other than a restaurant or other food-service firm, of an organization that experiences an hourly seasonal pattern. (That is, each hour of the day has a pattern that tends to repeat day after day.) Explain.

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Answer will vary. Ho...

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The last four weekly values of sales were 80, 100, 105, and 90 units, respectively. The last four forecasts (for the same four weeks) were 60, 80, 95, and 75 units, respectively. Calculate the MAD, MSE, and MAPE for these four weeks. The last four weekly values of sales were 80, 100, 105, and 90 units, respectively. The last four forecasts (for the same four weeks) were 60, 80, 95, and 75 units, respectively. Calculate the MAD, MSE, and MAPE for these four weeks.

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MAD = 65/4 = 16.25; ...

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Arnold Tofu owns and operates a chain of 12 vegetable protein "hamburger" restaurants in northern Louisiana. Sales figures and advertising expenses for the stores are provided in the table below. Sales are given in millions of dollars; advertising expenses are in tens of thousands of dollars. Calculate a regression line for the data. What is your forecast of sales for a store with advertising spending of $240,000? $300,000? Arnold Tofu owns and operates a chain of 12 vegetable protein  hamburger  restaurants in northern Louisiana. Sales figures and advertising expenses for the stores are provided in the table below. Sales are given in millions of dollars; advertising expenses are in tens of thousands of dollars. Calculate a regression line for the data. What is your forecast of sales for a store with advertising spending of $240,000? $300,000?

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Students must recognize that "advertisin...

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Which of the following smoothing constants would make an exponential smoothing forecast equivalent to a naive forecast?


A) 0
B) 1 divided by the number of periods
C) 0.5
D) 1.0
E) cannot be determined

F) C) and E)
G) C) and D)

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Identify the seven steps involved in forecasting.

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1. Determine the use of the forecast.
2....

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Which of the following is TRUE regarding the two smoothing constants of the Forecast Including Trend (FIT) model?


A) One constant is positive, while the other is negative.
B) They are called MAD and cumulative error.
C) Alpha is always smaller than beta.
D) One constant smooths the regression intercept, whereas the other smooths the regression slope.
E) Their values are determined independently.

F) None of the above
G) C) and D)

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Which time-series model below assumes that demand in the next period will be equal to the most recent period's demand?


A) naive approach
B) moving average approach
C) weighted moving average approach
D) exponential smoothing approach
E) trend projection

F) B) and E)
G) B) and C)

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The larger the number of periods in the simple moving average forecasting method, the greater the method's responsiveness to changes in demand.

A) True
B) False

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The tracking signal is the:


A) standard error of the estimate.
B) absolute deviation of the last period's forecast.
C) MAD.
D) ratio of cumulative error / MAD.
E) MAPE.

F) All of the above
G) C) and D)

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An innovative restaurateur owns and operates a dozen "Ultimate Low-Carb" restaurants in northern Arkansas. His signature item is a cheese-encrusted beef medallion wrapped in lettuce. Sales (x, in millions of dollars) are related to Profits (y-hat, in hundreds of thousands of dollars) by the regression equation y-hat = 7.21 + 1.76 x. What is your forecast of profit for a store with sales of $10 million? $30 million?

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Students must recognize that "sales" is ...

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Suppose that the last four months of sales were 8, 10, 15, and 9 units, respectively. Suppose further that the last four forecasts were 5, 6, 11, and 12 units, respectively. What is the Mean Absolute Deviation (MAD) of these forecasts?


A) 2
B) -10
C) 3.5
D) 9
E) 10.5

F) D) and E)
G) B) and C)

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Demand forecasts serve as inputs to financial, marketing, and personnel planning.

A) True
B) False

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The three major types of forecasts used by organizations in planning future operations are:


A) strategic, tactical, and operational.
B) economic, technological, and demand.
C) exponential smoothing, Delphi, and regression.
D) causal, time-series, and seasonal.
E) departmental, organizational, and territorial.

F) A) and C)
G) A) and D)

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The ________ measures the strength of the relationship between two variables.

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coefficien...

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Identify four quantitative forecasting methods.

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The list includes naive, movin...

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When one constant is used to smooth the forecast average and a second constant is used to smooth the trend, the forecasting method is ________.

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exponential smoothing with tre...

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The two general approaches to forecasting are:


A) qualitative and quantitative.
B) mathematical and statistical.
C) judgmental and qualitative.
D) historical and associative.
E) judgmental and associative.

F) B) and E)
G) A) and E)

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