Exponential smoothing takes which of the following things into account (choose all that apply)? Check All That Apply The forecast from the previous period The demand from the previous period The error in forecast from the previous period A smoothing constant

Which of the following is TRUE regarding the two smoothing constants of the Forecast Including Trend (FIT) model? Select one: a. One constant smoothes the regression intercept, whereas the other smoothes the regression slope. b. One constant is positive, while the other is negative. c. They are called MAD and cumulative error. d. Their values are determined independently. e. Alpha is always smaller than beta.

Forecast error is calculated as: Actual - Forecast O Forecast - Actual (Forecast - Actual) ^ 2 Absolute (Actual - Forecast) (Actual - Forecast) ^ 2

George has forecasted that annual demand for his sailboats in year 5 will equal 6,000 sailboats Based on the given data and using the multiplicative seasonal​ model, the demand level for​ George's sailboats in the spring of year 5 will be nothing sailboats ​(enter a whole ​number). Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.

In a retail store, the actual sales of a particular product (in thousands of units) over the past few months are as follows: Month Sales 1 16 2 22 3 18 4 20 5 23   Using exponential smoothing method with α (smoothing constant) of 0.75 and the given forecast for month 1 equal to 10, what is the forecast for month 6?

The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014. Year Period (t) Revenue ($ billions) 2009 1 23.8 2010 29.2 2011 37.9 2012 4 50.3 2013 59.8 2014 6 66.6 (a) Construct a time series plot. 80 80 70 70 70 70 60 60 50 50 50 30 30 30 30- 20 20 20 20 10 10 10 - 10- 4. 6 7 4 6 4 5 6 7 1 2. 4 6 7 Period Period Period Period What type of pattern exists in the data? O The time series plot shows an upward linear trend. O The time series plot shows a downward curvilinear trend. O The time series plot shows a downward linear trend. O The time series plot shows an upward curvilinear trend. (b) Develop a linear trend equation for this time series to forecast revenue (in billions of dollars). (Round your numerical values to three decimal places.) T = (c) What is the average revenue increase per year (in billions of dollars) that this company has been realizing? (Round your answer to three decimal places.) billion Revenue ($ billions) Revenue ($ billions)…

The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. Use time series decomposition to forecast quarterly sales for the next year. (Do not round intermediate calculations. Round your answers to the nearest whole number.) Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.

In a manufacturing company, a product “A” is manufactured from components “B” and “C”. Also, the component “B” is manufactured from parts “D” and “E”. Which items should be forecasted?

Which term most closely relates to associative forecasting techniques? Select one: a. time series data Ob. linear relationships Oc. the Delphi technique O d. consumer survey O e. predictor variables

Among the following forecasting techniques, which one utilizes both past time period forecast and past time period actual demand to calculate the forecasted demand? Weighted Moving Average Simple Moving Average Naive Method Exponential Smoothing