How can I calculate the forecast for March using the exponential smoothing method using Alpha: 0.60
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How can I calculate the
![Given the following data, calculate the
forecast for March using the exponential
smoothing method. [alpha: 0.60]
Month
Actual
Demand
(units)
January
5,000
February 5,500
March
Forecast
Demand
5,500
5,000](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F094cb2cf-cec6-465c-960d-efb085c0a87c%2F4f566c84-3e55-40bd-97c1-970aa88251da%2Fknol9a_processed.png&w=3840&q=75)
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- The file P13_22.xlsx contains total monthly U.S. retail sales data. While holding out the final six months of observations for validation purposes, use the method of moving averages with a carefully chosen span to forecast U.S. retail sales in the next year. Comment on the performance of your model. What makes this time series more challenging to forecast?Year Season Sales 2018 Winter 40 2018 Spring 29 2018 Summer 31 2018 Fall 40 2019 Winter 102 2019 Spring 87 2019 Summer 96 2019 Fall 132 2020 Winter 105 2020 Spring 93 2020 Summer 105 2020 Fall 117 2021 Winter 141 2021 Spring 39 2021 Summer 114 2021 Fall 123 What is the slope of the trend equation obtained by linear regression? Round to two decimal digits. What is the intercept of the trend equation obtained by linear regression? Round to two decimal digits. What is the seasonal index for Spring? Round to two decimal digits. The quarter number for Winter of 2018 is 1. What is the quarter number for Spring of 2025? What is the trend based forecast for Spring of 2025. Round to a whole number. What is the seasonally adjusted trend based forecast for Spring of 2025? Please do not use excel to find the slope and intercept, thank you so much!The sales of XYZ company for the previous three periods are 45, 42, and 43 respectively. Estimate the sales of the fourth period by exponential smoothing with 0.5. Use naïve as a starting/initial forecast (Round to 2 decimals) O a. None is correct O b. 43.25 O c. 41 O d. 41.92 O e. 42.8
- Consider the monthly sales data of a company for last year as well as first six month data for current year. Use a three- quarter weighted moving average, Forecast the sales of company for 3rd Quarter of current year. Use Weights of 4/7, 2/7 and 1/7, giving more weight to more recent data. Note, the 1ist quarter is Jan, Feb and March , 2nd quarter is Apr, May, June, 3rd quarter is July, Aug and Sept, and 4th quarter is Oct, Nov and Dec. Month Jan Feb Mar April May June July Aug Sept Oct Nov DecLast Year 100 125 135 175 185 200 150 140 130 200 225 250Current Year 125 135 135 190 200 190Consider the monthly sales data of a company for last year as well as first six-month data for current year. Use a three- quarter weighted moving average, Forecast the sales of company for 3rd Quarter of current year. Use Weights of 4/7, 2/7 and 1/7, giving more weight to more recent data. Note, the 1ist quarter is Jan, Feb and March, 2nd quarter is Apr, May, June, 3rd quarter is July, Aug and Sept, and 4th quarter is Oct, Nov and Dec. Month Jan Feb Mar Apr May June July Aug Sept Oct Nov Dec Last Yr 100 125 135 175 185 200 150 140 130 200 225 250 Current Yr 125 135 135 190 200 190From the following annual data of sales (in 000 .$.) Find the trend values by using least square method. Also estimate the sales of 2014. Year 2004 2005 2006 2007 2008 2009 2010 Sales {In 000 $} 77 88 94 85 91 98 90
- Sales for the past 6 months at Computer Success are given here. Month Sales S January 150 February 170 March 220 April 200 Мay 250 June 270 a. Use a three-month weighted moving average to forecast the sales for the month of July by using weights of 50%, 30% and 20% respectively.( b. Use exponential smoothing with a-0.2 to forecast the sales for the month of July. c. From exponential smoothing method, calculate the MAD & MSE.Cell phone sales for a California-based firm over the last 10 weeks are shown in the following table. Plot the data, and visually check to see if a linear trend line would be appropriate.Then determine the equation of the trend line, and predict sales for weeks 11 and 12.Week Unit Sales1 7002 7243 7204 7285 7406 7427 7588 7509 77010 775b. The following table shows the number of televisions sold over the last ten years at alocal electronic store. YEAR TV SALES 1 1502 3003 4804 6005 6306 6407 7008 8259 90010 980 i. Using trend projection, develop a formula to predict sales for years 11 and 12. Youhave to show all working. You will need to develop a table to calculate the slope andthe intercept. ii. Use that formula to forecast television sales for years 11 and 12.
- Find Trend adjusted exponential forecast for predicting the sales of the data below for period 11 and 12. Initialize in period 9. The value of alpha = 0.3 and beta = 0.2 1 700 2 724 3 720 4 728 5 740 6 742 7 758 8 750 9 770 10 775The table below shows the sales for a plastics manufacturer recorded over the past year. The seasonal indexes for each quarter are also provided). To track the trend for these four quarters, use the indexes to deseasonalize the sales data. Quarter 1 Sales 738 Index 75.0 Deseasonalized Sales 234 1012 104.0 1196 121.0 962 100.0 What are deseasonalized sales for quarter 2? 973.1 1052.5 1291.5 1012.0 1027.7The following table shows a tool and die company's quarterly sales for the current year. What sales would you predict for the first quarter of next year? Quarter relatives are SR= .94, SR,- 97, SR= 97, and SR, 112. For the trend forecast (T), add the difference between quarter 3 and quarter 4's deseasonalized sales data to the deseasonalized quarter 4 sales. (Round your answer to 1 decimal place.) Quarter Sales 84.6 83.0 84.7 108.0
