A retail manager seeks a better way to forecast the demand for LED light bulbs. She believes the demand is related t advertising expenditure. The table below shows historical data for the past 5 months. A) Is there a relationship between sales and advertising? How strong or weak? 3) The company will spend $1,750 next month on advertising. Determine the forecast for sales? Historical Data Month Sales 264.000 116.000 Advertising $2.500 $1.300
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- What forecasting techniques are used in the management of technology and innovation?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. QUARTER SALES 1 215 2 240 3 205 4 190 5 160 6 195 7 150 8 140 Use regression and seasonal indexes to forecast quarterly sales for the next year. Note: Do not round intermediate calculations. Round your answers to 1 decimal place.PLEASE CHOOSE ONE ANSWER AND CLARIFY THE CHOICE A quantitative forecasting class assumes that sales (or other items to be forecast) follow a repetitive pattern over time. When a retailer uses daily sales of each product to identify patterns and to forecast inventory requirements, this is an example of: A::a deterministic model B::a causal model C::a time series forecasting technique D::a qualitative model “A” items are high-dollar value items which represent a small portion (usually 10-20 percent) of requisitions, purchase orders, and inventory items, but a large portion of annual spend (usually 70-80 percent). “A” items in ABC analysis are: A::reviewed infrequently B::normally carried in large quantities C::stored in a relatively insecure warehouse D::particularly critical in financial terms Decoupling inventories are carried __________________________________. The amounts and locations of raw material, work-in-process, and finished goods decoupling inventories depend on…
- The current values of sales of a product in a company are as follows: November - 22, December - 35, January - 28, February - 20, March - 33, April - 20. What is the forecast for May using a mean mobile three months? Select one: a. twenty b. 25.25 c. 24.33 d. 26.33Give a proper explanation of what is meant by the adaptive forecasting ?-Please answer part iv. which is related to the three part question posted some moments ago that has been answered already. iv. Determine which of the three forecasting technique is the most accurate usingMAD. -Also, please answer the below two parts to this new question. The following table shows the number of televisions sold over the last ten years at a local electronic store. Year TV Sales 1 150 2 300 3 480 4 600 5 630 6 640 7 700 8 825 9 900 10 980 i) Using trend projection, develop a formula to predict sales for years 11 and 12. You have to show all working. You will need to develop a table to calculate the slope and the intercept.ii) Use that formula to forecast television sales for years 11 and 12.
- Historical sales data is shown below. Week Actual Forecast 1 328 300 2 272 3 245 4 223 5 205 6 Using alpha (α) = 0.2, what is the exponential smoothing forecast for period 6? Note: Round your answer to 2 decimal places. 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.Imagine you work for a breakfast cereal company that makes prepared products that are served cold. Your company wants to introduce a new hot breakfast cereal that would require some minimal preparation by the consumer. 1. How would you propose forecasting initial demand for this product? 2. Identify one quantitative and one qualitative technique. How do the techniques complement each other?Solved the problema) Use a 3-year moving average to forecast the sales ofVolkswagen Beetles in Nevada through year 6.b) What is the MAD? ~c) What is the MSE?
- Please help with the correct answers in details: Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 19 12 17 10 18 15 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) mean absolute error MAE = (b) mean squared error MSE = (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE = % (d) What is the forecast for week 7?If ABC Corporation has following historical data about sales volume: Years Sales Years Sales Years Sales Years Sales 2001 110 2006 99 2011 100 2016 110 2002 112 2007 101 2012 104 2017 111 2003 122 2008 95 2013 108 2018 109 2004 111 2009 98 2014 102 2019 114 2005 104 2010 96 2015 115 2020 112 Note: All the sale values are in thousands. Required: Which type of forecasting approach is suitable for this type of data? Which forecasting technique is best to employ in order to forecast the above data? And also define the suggested technique. Calculate the predicted values by employing the discussed technique in part (b) on the above data.Use the following sales data to answer the questions. Month Sales January $250,000 February $200,000 March $300,000 April $350,000 May $450,000 1. Using a two-month moving average, what are the expected sales for June? 2. Using a three-month moving average, what are the expected sales for June?