Consider the following time series data.Week 1 2Value1812(b) mean squared errorMSE =31645(d) What is the forecast for week 7?6Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy.(a) mean absolute errorMAE =11 17 13(c) mean absolute percentage error (Round your answer to two decimal places.)MAPE =%

The time series data set is given as: Week Value 1 18 2 12 3 16 4 11 5 17 6 13

Answered: Consider the following time series…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question 1 ABC Restaurant has made a forecast for last week's operations vs Actual result of the forecast last week. Period Monday Tuesday Actual 112 110 113 120 140 Forecast 115 104 Wednesday 110 Thursday 115 Friday 135 Using this table above, solve for Mean Absolute Deviation (MAD) Note: Round up to the last 2 decimals example 9.6568->9.66
Question 3 ABC Restaurant has made a forecast for last week's operations vs Actual result of the forecast last week. Period Monday Tuesday Wednesday Thursday Friday Actual 112 110 113 120 140 Forecast 115. 1041 110 115 135 Using this table above, solve for Mean Absolute Percent Error (MAPE) Note Round up to the last 2 decimals, example 9.6568->9 66 3
Please answer part a, b, c, and d
Consider the following time series data. Week 1 2 3 4 5 6 Value 17 13 17 10 18 15 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? Need Help? Read It Watch It Type here to search W L3 72°F B N M
Consider the following time series data. Week 1 3 4 6. Value 19 12 15 10 17 15 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 (MAE) b. Mean squared error (MSE) c. Mean absolute percentage error (MAPE) Round your answers to two decimal places. МАЕ 3 MSE = МАРЕ - Using the average of all the historical data as a forecast for the next period, compute the same three values. Round your answers to two decimal places. МАЕ 3 MSE = МАРЕ 3 Which method appears to provide the more accurate forecasts for the historical data?
Need a, b and c please
PART 3 A car mat manufacture been having quality issues with its production. A series of tests were carried out to measure the resulting pH of the most common carpet produced, Type 1, as a good indicator of quality. For the following questions show all calculations and formula used. What is the mean, mode and range of the pH after dyeing? Table – Type 1 pH after addition of dye 5.105 to 5.3 5.305 to 5.5 5.5.05 to 5.7 5.705 to 5.9 5.905 to 6.1 6.105 to 6.3 6.305 to 6.5 No. of samples 1 5 7 8 7 4 1 For pH after addition of dye calculate the standard deviation, showing your calculations in full. Plot the standard deviation graph in Excel showing the distribution. From your calculations and the data Give the minimum and maximum limits the pH may be, given that the distribution is normal. Calculate the probability that a randomly selected carpet sample will have a PH of (i) 6.1 and (ii) 5.4. Further tests were carried on a…
Consider the following time series data. Month 1. 3 4 5 7 Value 20 11 19 11 19 22 15 Round your answers to two decimal places. a. Compute MSE using the most recent value as the forecast for the next period. Mean squared error is What is the forecast for month 8? b. Compute MSE using the average of all data available as the forecast for the next period. Mean squared error is What is the forecast for month 8? c. Which method appears to provide the better forecast? - Select your answer -
Please correct my answer for part c
Consider the following time series data. Week 1 2 3 4 5 6 Value 19 13 16 10 19 15 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?
Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. d. What is the forecast for week 7 (to 2 decimals)?
Please answer part C

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