for the 8th week using weights of 3, 2, and 1 (where the most recent week receives the highest weight). (Round all forecasts to the nearest whole unit.) b. Calculate the MAD for this forecast. What does the MAD indicate? he number of students enrolled in Spring Valley Elementary school has been steadily acreasing over the past five years. The School Board would like to forecast enrolment or years 6 and 7 in order to better plan capacity. The past five years enrolment is dicated in table 3:

K Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons: Week 1 2 3 4 Forecast Method 1 0.95 1.05 0.97 1.20 Actual Demand 0.68 1.05 0.96 1.00 Week 1 2 3 4 Forecast Method 2 0.82 1.21 0.88 1.17 The MAD for Method 1 = thousand gallons (round your response to three decimal places). Actual Demand 0.68 1.05 0.96 1.00 Save D

Assume Sandra's forecasted ADR for the night is $1600.99. What would be her estimated total room revenue for this day? ADR = Total room revenue / Number of rooms sold

Dic 2 - Time Series Analysis and F eBook Problem 6-01 (Algorithmic) Consider the following time series data. Thm Week 1 2 3 4 5 6 Value 20 13 15 11 19 13 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. a. Mean absolute error. If required, round your answer to one decimal place. b. Mean squared error. If required, round your answer to one decimal place. c. Mean absolute percentage error. If required, round your intermediate calculations and final answer to two decimal places. % d. What is the forecast for week 7? If required, round your answer to two decimal place.

The worksheet Hudson Demand Case Data in MindTap provides the number of visits over one year from January to December (52 weeks). Chart the data and explain the characteristics of the time series. How would you forecast future demand for customer visits? What criteria will you use to determine a “good” forecast? What methods would you use, and why? What is your final recommendation with respect to a forecasting method? 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.

Give typed explanation Part 2: Using exponential smoothing, the forecasted demand for period 5 using the smoothing constant determined in image= ?

The following table shows the actual demand observed over the last 11​ years:                                                                                                                                             Year 1 2 3 4 5 6 7 8 9 10 11 Demand 6 8 4 7 11 7 13 12 10 13 8 This exercise contains only parts​ b, c, and d. Part 2 ​b) Using the​ 3-year moving​ average, provide the forecast from periods 4 through 12 ​(round your responses to one decimal​ place).                                           Part 3 ​c) Using the​ 3-year weighted moving average with weights   0.10​,   0.30​, and   0.60​, using   0.60 for the most recent​ period, provide the forecast from periods 4 through 12​ (round your responses to two decimal​ places).                                           Part 4 ​d) Mean absolute deviation for the forecast developed…

The following table shows the actual demand observed over the last 11​ years:                                                                                                                                             Year 1 2 3 4 5 6 7 8 9 10 11 Demand 7 9 6 10 12 7 12 12 9 9 8 Part 2 Using exponential smoothing with   α ​=   0.30 and a forecast for year 1 of   6.0​, provide the forecast from periods 2 through 12 ​(round your responses to one decimal​ place).                                                       Part 3 Provide the forecast from periods 2 through 12 using the naive approach ​(enter your responses as whole​ numbers).

14. The demand for Krispee Crunchies is experiencing a decline. The company wants to monitor demand for this product closely as it nears the end of its life cycle. The following table shows the actual sales history for January to October. Generate forecasts for November to December, using the trend projection with regression method. Looking at the accuracy of its forecasts in the Trend Projection Worksheet, as well as the other statistics provided, how confident are you in these forecasts for November to December? Month January February March April May June Sales 890,000 800,000 825,000 840,000 730,000 780,000 Month July August September October November December Sales 710,000 730,000 680,000 670,000

Problem 3