Weekly sales of copy paper at Cubicle Suppliers are in the table below. Compute a three-period moving average and a four-period moving average for weeks 5, 6, and 7. Compute each forecast. Which model is more accurate? Forecast week 8 with the more accurate method. Week Sales (cases) 1 17 2 21 3 27 4 31 5 19 6 17 7 21

Weekly sales of copy paper at Cubicle Suppliers are in the table below. Compute a three-period moving average and a four-period moving average for weeks 5, 6, and 7. Compute each forecast. Which model is more accurate? Forecast week 8 with the more accurate method. Week Sales (cases) 1 17 2 21 3 27 4 31 5 19 6 17 7 21

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Please assist with this Forecasting question. Show all workings and provide explanations. Also, show all input in the table please
None
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.5 7 3.3 2.5 2.8 2.2 0.6 14.2 11.6 10.3 7.1 6.4 6.7 6.2 4.8 thousands of automatic weapons = murders per 100,000 residents This data can be modeled by the linear equation ŷ = 0.84x + 4.33 a. How many murders per 100,000 residents can be expected in a state with 9.1 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents b. How many murders per 100,000 residents can be expected in a state with 4.3 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents
Use the information below to answer Question 5 and Question 6. The table below shows the sales (in packets) of a commodity at a supermarket over a three-year period, together with appropriate totals and values of a four - point moving average. Centred Sales Four-quarter totals moving average values Year Quarter (number of packets) Centred totals 2005 57 II 64 248 II 68 494 61.75 IV 59 491 61.375 245 2006 55 490 61.25 245 II 63 487 60.875 242 II 68 60.375 241 IV 56 481 60.125 240 2007 54 479 59.875 239 II 62 475 y 236 II 67 IV 53 Find the value of w. A. 127 В. 246.5 С. 242 D. 246
Twelve husbands were asked how much housework they completed last week and how many children were in the home. Use the following data to complete the questions in this section. Write out the linear model. Children Husband’s Housework Children Husband’s Housework 2 4 4 6 1 1 1 3 3 0 3 5 5 4 2 3 1 5 2 1 5 7 4 3
4
The table gives information about the number of people staying in a hotel each quarter in 2020 and in 2021.Calculate the 4-point moving averages for this information. year 2020 2021 quarter 1 2 3 4 1 2 3 4 people 261 353 372 290 193 309 292 202
Forecasting: 1. How does the number of periods in moving average affect the responsiveness of the forecast? 2. Contrast the terms sales and demand. 3. KA commercial bakery has recorded sales (in dezens) for three products, as shown below: Blueberry MuHins Cinnamon Buns Day Cupcakes 30 18 45 34 17 26 32 19 27 34 23 35 2 22 30 23 48 23 29 34 36 25. 20 29 24 14 10 31 26 18 35 31 11 27 47 28 26 27 37 34 13 14 31 24 15 33 33 22 a. Predict orders for the following day for cach of the products using an appropriate naive method. b What should the use of sales data instead of demand imply. RNN N N N H.NM p
26 14 30 45 20 21 27 32 40 Age of residents in a neighbourhood 50 9 37 40 36 13 52 10 35 12 36 57 28 51 47 48 42 42 52 1 53 Create a box-and-whisker plot for the data. If you use technology copy and paste the graph into your solutions document. If you prepare it by hand use a ruler and take a clear, well-lit photograph or scan and insert it as an image into your document.
A biscuit production manager wants to investigate the linear relationship between the number of items produced and the production cost. To pursue his/her objective, the manager recorded the data on the number of items produced per day and the production cost per day (in thousands of Malaysian Ringgit) as shown in Table 3 Table 3 Days 1 2 4 6. 7 8 10 11 Number of items, (x) 26 67 86 17 10 44 53 40 77 80 20 20 Production cost, (y) 21 60 69 47 50 | 98 39 55 85 104 37 20 a) Name the TWo (2) most popular correlation coefficients. OPearson Oz-table OT-table Ochi-square Ospearman b) Calculate the correlation coefficient, r. ху x2 y2 26 21 676 44 60 2640 1936 3600 53 69 3657 2809 4761 47 1880 2209 77 50 3850 5929 2500 80 98 7840 6400 9604 20 39 780 400 1521 20 55 1100 400 3025 67 5695 4489 7225 86 104 8944 7396 10816 17 37 629 289 1369 10 20 200 100 400 E y² = Σχ ΣΥ- Σχy- Ex? = || || **Answer should be up to 4 decimal place (dp) r = c) Based on the correlation coefficient, robtained, make a…
Day Highest Temperature Lowest Temperature Thursday 07/07 24 Degree 14 Degree Friday 08/07 27 Degree 15 Degree Saturday 09/07 25 Degree 15 Degree Sunday 10/07 27 Degree 16 Degree Monday 11/07 29 Degree 16 Degree Tuesday 12/07 31 Degree 17 Degree Wednesday 13/07 29 Degree 15 Degree Thursday 14/07 28 Degree 16 Degree Friday 15/07 28 Degree 17 Degree Saturday 16/07 29 Degree 18 Degree For the data above , use the linear forecasting model which is y = mx + c to calculate and discuss the followings: Show the steps of calculation of m value and discuss the answer. Show the steps of calculation of c value and discuss the answer. Using the calculated 'm' and 'c' values, forecast the temperature for day 11 and day 14. Hint - Use the following formulas to calculate the ‘m’ and ‘c’ values. m = c =
Using the photo attached, One Stop Car Repairs ollects data on the actual demand for its services and uses this data to make forecasts. The actual number of transmissions that were repaired for the last ten periods IS ATTACHED IN THE PHOTO answer the following. 1. Using the trend projection manual method, forecast demand for transmission repairs for periods 11 and 12