The 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, SR2 97, SR3-97, 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 decimall place.) Quarter Sales 84.6 83.0 84.7 108.0

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 17 12 15 12 18 13   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?

Can you please solve all parts of the question manually. Thank you!

We are using Winter’s method and monthly data toforecast the GDP. (All numbers are in billions of dollars.)At the end of January 2005, Lt 600 and Tt 5. We aregiven the following seasonalities: January, 0.80; February,0.85; December, 1.2. During February 2005, the GDP is ata level of 630. At the end of February what is the forecastfor the December 2005 level of the GDP? Use a b g 0.5.

Sales over the past 10 years are shown below. Using the method of least squares, calculate the values of a and b to complete this regression equation.   Year Sales 1 1,640 2 1,850 3 1,240 4 1,250 5 1,980 6 1,400 7 1,060 8 1,430 9 1,050 10 1,990   (Indicate a negative answer using a "-" sign. Do not round intermediate calculations and round your answer to 3 decimal places.)       What is your forecast for next year's sales? (Do not round intermediate calculations and round your answer to 2 decimal places.)

Suppose a firm has had the following historic sales figures. Year: 2016 2017 2018 2019 Sales $3,400,000 $4,650,000 $3,300,000 $2,900,000 What would be the forecast for next year's sales using the naïve approach? Answer is complete but not entirely correct. Next year's sales $ 3,550,000 2020 $3,500,000

Hi, I need help with solving for the following values (boxed). Thank you.

Forecast error is calculated as: Actual - Forecast O Forecast - Actual (Forecast - Actual) ^ 2 Absolute (Actual - Forecast) (Actual - Forecast) ^ 2

Please do not give solution in image format thanku

The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014. Year Period (t) Revenue ($ billions) 2009 1 23.8 2010 29.2 2011 37.9 2012 4 50.3 2013 59.8 2014 6 66.6 (a) Construct a time series plot. 80 80 70 70 70 70 60 60 50 50 50 30 30 30 30- 20 20 20 20 10 10 10 - 10- 4. 6 7 4 6 4 5 6 7 1 2. 4 6 7 Period Period Period Period What type of pattern exists in the data? O The time series plot shows an upward linear trend. O The time series plot shows a downward curvilinear trend. O The time series plot shows a downward linear trend. O The time series plot shows an upward curvilinear trend. (b) Develop a linear trend equation for this time series to forecast revenue (in billions of dollars). (Round your numerical values to three decimal places.) T = (c) What is the average revenue increase per year (in billions of dollars) that this company has been realizing? (Round your answer to three decimal places.) billion Revenue ($ billions) Revenue ($ billions)…