Year 1 3 Quarter 1 2 3 4 1 2 3 4 1 2 3 4 Sales 25 28 33 38 22 27 34 36 21 25 39 41 Based on the sales data shown above, what is the trend for quarter 1 of year 4? 30.45 30.42 30.52 30.49
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- Question 3 An organization uses a business intelligence system to predict products that tend to be purchased together. This is an example of. O A) Regression Analysis B) Cluster Analysis C) REM Analysis D) Market Basket AnalysisQUESTION 2:The manager of YTL Computers wants to develop next year’s quarterly forecasts of salesrevenue for its brand laptops. The sales are seasonal and the company believes that thefollowing most recent eight quarters of sales should be representative of next year’ssales: Year Quarter Sales (millions of dollars) 1 1 9.2 1 2 5.4 1 3 4.3 1 4 14.1 2 1 10.3 2 2 6.4 2 3 5.4 2 4 16.0 Determine the forecast of next year’s quarterly sales revenue for this line of laptops.Show all your workings.(4) The Great Northwest Outdoor Company is a catalog sales operation that specializes in outdoor recreational clothing. Demand for its items is very seasonal, peaking during the holiday season and during the spring. It has accumulated the following data for orders per season (quarter) during the past five years. Orders (1,000s) Year 1 Year 2 Year 3 Year 4 Year 5 Winter (Q 1) Spring (Q 2) Summer (Q 3) 18.6 18.1 22.4 23.2 24.5 23.5 24.7 28.8 27.6 31.0 20.4 19.5 21.0 24.4 23.7 Fall (Q 4) Total 41.9 46.3 45.5 47.1 52.8 104.4 108.6 117.7 122.3 132.0 Develop a seasonally adjusted forecast model for these order data. Forecast demand for each quarter for year 6, using the annual trend line as given: Y(t) = 96.33 + 6.89t (a) Find seasonal index for each quarter (b) Find seasonally adjusted demand forecast for each quarter for year 6 (c) Find MAD for seasonally adjusted forecasting for year 1 through 5.
- Question 1 Q1) The monthly sales of a retailer company were as follow: Month -Sales February-- March- 1000 1800 April- -2100 May- -1000 June- July-- 2048 2600 August As a planner, you are required to calculate the Demand Forecast for August using the Naive approach Add your answerEquine Science Interpreting Scatterplots and Regression Equations 180+ 170- 160 150+ 140 130 120- 110 200 300 400 500 600 700 800 Age in Days An Equine Scientist was interested in horse height (measured to the horse wither in cm) as a young horse aged from 200 to 800 days. She collected the data in the graph above from records on horses she had worked with in the past (shown by the blue dots) and fit a linear regression equation (shown by the red line). According the regression equation, as the age of the horse increases in days. the wither height in cm Select an answer v The age of the horse in days and the wither height in cm are Select an answer The slope of the regression equation is approximately 0.044. interpret the slope by completing the sentence below. As the Select an answer v increases by 1, the Select an answer V increases by The regression equation approximates the wither height by the following formula. Let d = age in days Let W = wither height in cm W = 0.044 -d +…Q14 Which of the following is a serious problem associated with historical cost based financial statements in periods of inflation? a. Asset understatement b. Overstated Income c. Overpayment of income taxes d. All of these options given are potential problems
- 1 Given the data below. Find the forecast value from June to December Month Actual Demand Forecast January February 380 420 March 375 April May 285 325 June July August Sept October November December ?? ?? ?? ?? ?? ?? ??Q1. Does Livestock Wealth use "inside-out" or "outside-in"?gnment 1.d X ment%202.pdf .xlsx HP Work & Supply Chain Marakane Sales JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Total - 1 / 2 - Question 1 The monthly demand of a company is showed below, please use the static method to forecast the demand for Year 6. Year 1 Q Search 2,000 3,000 3,000 3,000 4,000 6,000 7,000 6,000 10,000 12,000 14,000 8,000 78,000 Catherine Caramp....pdf Z Year 2 140% 3,000 4,000 3,000 5,000 5,000 8,000 3,000 8,000 12,000 12,000 16,000 10,000 89,000 LDE + @ I Assignment 2 Year 3 Question 2 Historical demand for Peeps is as displayed in the table. 2,000 5,000 5,000 3,000 4,000 6,000 7,000 10,000 15,000 15,000 18,000 8,000 98,000 T2202- 2022.pdf 0 Year 4 }}) 5,000 4,000 4,000 2,000 5,000 7,000 10,000 14,000 16,000 16,000 20,000 12,000 115,000 ! Year 5 5,000 2,000 3,000 2,000 7,000 6,000 8,000 10,000 20,000 20,000 22,000 8,000 113,000 Q☆ l EN US
- 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!Reflective Paper 1 Mulling over M & M In the 1930s Spanish Civil War, Forrest Mars saw soldiers eating chocolate pelletswith a hard shell to carry these chocolates easily without the risk of melting. This gavehim an idea, and the M&M’s Plain Chocolate Candies were introduced in the USAmarket in 1941.The product was a hit with the American soldiers and U.S. Army became its first bigcustomer as it gave the soldiers an option to carry chocolate in tropical climates withoutmelting. In 1949, the brand introduced the tagline “Melt in your mouth, not in yourhand,” and this led to a considerable increase in its sales because it delivered on asolid insight, especially from parents who did not like to see their children making amess when eating chocolate. M&M’s are button-shaped chocolate-filled candies withhard shells surrounding a filling which varies depending upon the type of M&M’s. Theproduct is available in various colors – red, yellow, orange, brown, green, and…Reflective Paper 1 Mulling over M & M In the 1930s Spanish Civil War, Forrest Mars saw soldiers eating chocolate pelletswith a hard shell to carry these chocolates easily without the risk of melting. This gavehim an idea, and the M&M’s Plain Chocolate Candies were introduced in the USAmarket in 1941.The product was a hit with the American soldiers and U.S. Army became its first bigcustomer as it gave the soldiers an option to carry chocolate in tropical climates withoutmelting. In 1949, the brand introduced the tagline “Melt in your mouth, not in yourhand,” and this led to a considerable increase in its sales because it delivered on asolid insight, especially from parents who did not like to see their children making amess when eating chocolate. M&M’s are button-shaped chocolate-filled candies withhard shells surrounding a filling which varies depending upon the type of M&M’s. Theproduct is available in various colors – red, yellow, orange, brown, green, and…