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An analyst wants to use the ratio-to-moving-average method to forecast a company's sales for the next...
A business analyst is hired by a local real estate firm to forecast how condo sales on a quarterly basis over the next several years. The firm provides the analyst with three years worth of quarterly condo sales data. Noticing that the data exhibits increasing trend and a seasonal pattern, the analyst chooses to create a multiple regression model for generating the forecasts: y = 120 + 22 Qtr1 + (-70) Qtr2 + (-120) Qtr3 + 5 t In the...
Exercise 1. Graph three plots Sales, Forecast, center moving average 2. Predict the sales in year 5 for each quarter using forecasting Quarter Data for Car Sales Year Quarter Sales (1000's) Moving average (4) Center moving average (baseline) year 1 1 4.8 2 4.1 3 6 4 6.5 Year 2 1 5.8 2 5.2 3 6.8 4 7.4 Year 3 1 6 2 5.6 3 7.5 4 7.8 Year 4 1 6.3 2 5.9 3 8 4 8.4
1. Graph three plots Sales, Forecast, center moving average 2. Predict the sales in year 5 for each quarter using forecasting Quarter Data for Car Sales |Sales (1000%) 4.8 4.1 |Quarter Center moving average (baseline) Moving average (4) Year year 11 6.5 5.8 5.2 6.8 7.4 Year 21 Year 3 5.6 7.5 7.8 6.3 5.9 Year 4 1 8.4 1. Fill out the two column (Moving average 4 cells) 2. and the center moving average Quarter Data for Car Sales...
Find the seasonalized forecast for Q2 of 2017.The sales trend has been modeled as: Sales = 255.00+ 2 * t , where t= time in quarters, beginning in Q1 2014. Seasonality for the four quarterly periods is given in the table below. QUARTER SEASONAL FACTOR Q #1 1.2 Q #2 1.18 Q #3 0.5 Q #4 ** Round to 1 Decimal Place! **
The business analyst for Video Sales, Inc. wants to forecast yearly demand for DVD decoders based on the following historical data: Year 5 years ago 4 years ago 3 years ago 2 years ago Last year Demand 900 700 600 500 300 Question 12 (5 points) What is the forecast for this year using a three-year simple moving average? 420 510 467 300 650 What is the forecast for last year using simple exponential smoothing with smoothing constant alpha =...
Use a three-period simple moving average and weighted-moving average and Naive methods to forecast the 8th month. Calculate and compare the MAD for methods. Month Sales MA AD WMA AD Naive AD 1 20 --- --- --- --- --- --- 2 25 --- --- --- --- --- --- 3 22 --- --- --- --- --- --- 4 26 5 22 6 24 7 26 8 ---- ? ? AD: Absolute Deviation MA: Moving Average WMA: Weighted Moving Average
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The deseasonalized sales for this period when the actual sales are 2,275.00 units and the seasonal index for this period is 1.622 Answer format: Number: Round to: 2 decimal places The forecast with out seasonality is modeled as: Sales = 6*1 +245.00, where to time in months, beginning in January 2015. Seasonality for the first three months are given in the table below. Determine a seasonalized forecast for Feb of 2016 Month Seasonal Factor January 1 9000 February...
When the moving average method is used to estimate the seasonal factors with quarterly sales data, a ______ period moving average is used. A. 5 B. 8 C. 4 D. 2 E. 3
John's House of Pancakes uses a weighted moving average method to forecast pancake sales. It assigns a weight of 5 to the previous month's demand, 3 to demand two months ago, and 1 to demand three months ago. If sales amounted to 3000 pancakes in May, 2200 pancakes in June, and 1000 pancakes in July, what should be the forecast for August? 2400 1622 2511 2067 3767
1. Fill out the two column (Moving average 4 cells) 2. and the center moving average Quarter Data for Car Sales Year Quarter Sales (1000's) Moving average (4) Center moving average (baseline) year 1 1 4.8 2 4.1 3 6 4 6.5 Year 2 1 5.8 2 5.2 3 6.8 4 7.4 Year 3 1 6 2 5.6 3 7.5 4 7.8 Year 4 1 6.3 2 5.9 3 8 4 8.4