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- 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!An electronic appliance manufacturer wants to know if there is a relationship between percentage change in deposable personal income which is reported quarterly by the government, and the percentage change in appliances sold by the manufacturer following same years of quarterly data. Brenda Chee and Clarence Paulus lead an analyst team has obtained data for the past 10 quarters. Table 3 Quarter Percent change in income Percent Change in appliance sold Quarter Percent change in income Percent Change in appliance sold 1 -2.3 -2.5 6 -1.0 1.0 2 -1.5 -1.0 7 0.7 1.4 3 2.8 7.4 8 5.2 3.4 4 0.5 2.6 9 -2.5 -0.5 5 4.6 8.5 10 1.7 1.8 1) What forecasting model should be used for this data.Why? 2) Develop the forecasting model that you have proposed in(a). 3) Compute the relationship for these data. In your opinion, is the relationship between independent variable strong enough to base a predictive the…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.
- A retail manager seeks a better way to forecast the demand for LED light bulbs. She believes the demand is related to 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? B) The company will spend $1,750 next month on advertising. Determine the forecast for sales? Historical Data: Month 2 3 4 5 Sales 264.000 116.000 165.000 101.000 209.000 Advertising $2.500 $1.300 $1.400 $1.000 $2.000Given a forecast demand and an actual demand for a certain product, calculate the tracking signal and MAD parameter. Year Forecast Demand Actual demand 1 78 71 75 80 3 83 101 84 84 5 88 60 85 73Find the EAR in each of the following cases: Stated Rate (APR) Number of Times Compounded 7% Quarterly16 Monthly11 Daily12 Infinite
- Year Quarter Sales Isolated trend 2016 1 18 2016 2 28 2016 12 2016 4 8 2017 1 16 2017 2 38 2017 3 24 2017 4 17 2018 1 34 A 2018 2 40 2018 29 2018 4 26 2019 1 42 2019 2 52 2019 40 2019 4 34 43.75 2020 1 46 2020 2 58 The table contains decomposition figures of the quarterly sales in millions of Rands for a large store. The value of A isOutlet All Sales Tortilla Sales Madre's Tortilla Stocked Padre's Tortilla Stocked Store 1 $100,000 $1,000 Yes Yes Store 2 $75,000 $500 Yes Yes Store 3 $50,000 $300 Yes No Store 4 $40,000 $400 No Yes Weighted Distribution or Product Category Value (PCV) Distribution (%) Numerical 4: The marketers at Madre's Tortillas want to know the Product Category Value or Weighted Distribution (%) of their distribution network. How much is it?FOR THIS QUESTION PLEASE REFER TO 3rdTABLEFont Paragraph Styles Using a Trend Line The demand for Year Demand electrical power at N.Y.Edison over the years 1997 60 1998 65 1999 89 1997 – 2003 is given at the left. Fin 2000 92 2001 100 d the overall 2002 122 trend. 2003 110 What is the demand for 2010 and 2011
- tions Management Spring21 Time left 0:30:19 Qui The sales of XYZcompany 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. 42.8 O b. 41 Mar O C. None is correct 12- O d. 43.25 O e. 41.92 S PAGE NEXT PAGE Finish TOSHIBA F11 F17 F9 F10 F6 F7 F8 F5 F3 F4 60 AHWhich of the following would NOT be a factor that would influence basic financial planning decisions? Question 3 options: Family experiences Medical history Medical issues Past interest rateswhat is Nissan's car company sales for the past 7 years?