WebThe causal method of forecasting uses historical data on independent variables (such as promotional campaigns and economic conditions) to predict the demand of dependent variables (such as sales volume). True Salesforce estimates are extremely useful for technological forecasting False WebFalse. This is because the r-squared value indicates how the regression line fits into the data but not directly related to the slope of the regression equation. If it is greater than …

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WebA company wants to forecast demand using the weighted moving average. If the company uses three prior yearly sales values (i.e., year 2011 = 160, year 2012 = 140, and year 2013 = 170), and we want to weight year 2011 at 30 percent, year 2012 at 30 percent, and year 2013 at 40 percent, which of the following is the weighted moving average forecast for … WebC. Forecasts will almost always be wrong because the future is never certain. D. Qualitative forecasting methods are useful when there is ample data. E. In forecasting, a lack of data may occur when the product is a new innovation or invention. Qualitative forecasting methods are useful when there is ample data. texas tan coppell

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WebFalse Aggregation is the act of clustering several similar products or services. True Aggregating products or services together generally decreases the forecast accuracy. False Judgment methods of forecasting are quantitative methods that use historical data on independent variables to predict demand False WebTrue A model with a positive mean forecast error suggests that, on average, the model under forecasts. True The tracking signal calculated for the first forecast is always either +1 or -1 False A collaborative planning, forecasting and replenishment system eliminates the need for forecasting False WebVerified questions. Wendy Baughm bought a five-year old condominium for $136,000. She paid$27,200 in cash and immediately spent $4,400 to install a deck. Wendy also spent$3,200 to paint the interior and make minor repairs. texas tana