The forecasting time horizon that would certainly frequently be easiest to predict for would certainly be the

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short-selection.

You are watching: With regard to a regression-based forecast, the standard error of the estimate gives a measure of

long-range.
medium-variety.
intermediate variety.

A forecast that tasks a company"s sales is a(n):

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financial forecast.
technological forecast.
demand foreactors.
associative version.

Quantitative approaches of forecasting include

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jury of executive opinion.
sales pressure compowebsite.
exponential smoothing.
consumer sector survey.

The technique that considers numerous variables that are regarded the variable being predicted is

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weighted relocating average.
multiple regression.
exponential smoopoint.

The forecasting design that is based upon salesperson"s estimates of expected sales is

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sales force compowebsite.
consumer sector survey.
delphi approach.
jury of executive opinion.

Decomposing a time series describes breaking dvery own previous data into the components of

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constants and also variations.
strategy, tactical, and also operational variations.
irreversible, short-term, and also medium-term variations.
patterns, cycles, seasonal and also random variations.

With regard to a regression-based forecast, the typical error of the estimate gives a measure of

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the variability around the regression line.
the moment forced to derive the foreactors equation.
the maximum error of the foreactors.
the moment duration for which the forecast is valid.

When making use of exponential smoopoint, the smoopoint constant

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is typically between .75 and also .95 for most organization applications.
indicates the accuracy of the previous foreactors.
deserve to be determined using MAD.
have to be chosen to maximize positive bias.

A tracking signal

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is computed as the intend absolute deviation (MAD) split by the running amount of the foreactors errors (RSFE).
that is negative shows that demand also is greater than the forecast.
cannot be used via exponential smoothing.
need to be either 1, 0, or -1 for the first predicted value

If demand is 106 during January, 120 in February, 134 in March, and 142 in April, what is the 3-month straightforward moving average for May?

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132
126
142
138

Given last period"s forecast of 65, and last period"s demand also of 62, what is the easy exponential smoopoint forecast via an alpha of 0.4 for the following period?

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62
63.2
65
63.8

A forespreading strategy repeatedly produces a negative tracking signal. This implies that

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the forespreading strategy repeatedly under predicts.
the MSE will certainly likewise repeatedly be negative.
the MAPE will also consistently be negative.
the forecast approach consistently over predicts.

A regression model is provided to foreactors sales based upon heralding dollars invested. The regression line is y=500+35x and also the coeffective of determicountry is .90. Which is the best statement around this forecasting model?

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The coefficient of correlation in between sales and declaring is 0.81.
For eextremely $35 spent on declaring, sales boost by $1.
The correlation in between sales and also heralding is positive.
Even if no money is invested on heralding, the agency realizes $35 of sales.

Linear regression is many similar to

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the naïve strategy of forecasting.
the simple moving average approach of forespreading.
the trend projection strategy of forespreading.
the weighted relocating average approach of forecasting.

Time series patterns that repeat themselves after a period of days or weeks are called

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cycles.
trend.
seasonality.

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random variation.

Which of the complying with is NOT a time-series model?

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exponential smoothing
relocating averages
linear regression
naïve approach
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