The table provided below gives the sales details of the number of android smartphones at an electronic retail store for the past 6 weeks. The time series appears to berelatively stable, without trend, seasonal, or cyclical effects. (Hint: Optimize a value in0.1 increments)Week1234LO56Calculate the value of the mean absolute percentage error for the given data.21.7220.9016.60Units sold88445465728529.97

Answered: Image /qna-images/answer/89e0bd39-04b9-448f-9f80-08c4625ef099.jpg

Answered: The table provided below gives the…

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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The following table shows actual sales and forecasts for the past 4 periods. Calculate the mean absolute percentage error and the tracking signal. Round your answers to two decimal places. Show your calculations Period Dt Ft et |et| |et|Dt 1 280 326 46 46 0.16 2 220 356 136 136 0.62 3 210 292 82 82 0.39 4 361 341 -20 20 0.06
Using the 4 weeks of data below, forecast sales for the fifth week using a 3-week weighted moving average. The oldest weight is 0.1 and the most current weight is 0.6. Week 1 2 90.4 84.5 72.3 80.3 73.1 Sales 68 77 72 192
Following shows the numbers of Amazon Prime members in the millions, each quarter from 2016 to 2021. Quarter 2016 2017 2018 2019 2020 2021 1 26 36 48 62 81 98 2 27 37 50 65 83 103 3 29 40 53 69 86 109 4 33 44 57 74 93 117 Construct a line chart using the data. Describe the relationship between the time and number of subscribers.
8
Using the table below, what is your forecast for week 11 using a three-week weighted moving average with weights of 0.30 for the most current time period and 0.2 for the oldest time period? Week Sales 1 110 115 125 4 120 5 125 120 7 130 8. 115 9. 110 10 130 2.
Q3. Consider the following data. Period Rate of Return (%) 1 -6.0 2 -8.0 3 -4.0 4 2.0 5 5.4 What is the mean growth rate over these five periods?
Use Microsoft Excel or other software to create a scatter plot of the relationship between elevation and air density shown in the table below. Add a trend line fit of your choice to the plot and create an empirical model that predicts the density for a value of the elevation. Justify your choice of model fit to the data (i.e., explain what you did and why). Elevation (km) Density (kg/m3) 0 1.225 1 1.112 2 1.007 3 0.9093 4 0.8194 5 0.7364 6 0.6601 8 0.5258 10 0.4135 15 0.1948 20 0.08891 25 0.04008
Q. 16. step by stepsolutiomn please Scatter plots and Equations of Lines, Writing an Equation for a trend line Which graph shows the best trend line for the following data Practice (weeks) 6 8 10 12 14 16 18 Score 15.5 21.5 26.5 34 33 37 41
12.6 % are age 65 and over. Approximately what percent of the population are working age adults. (Above age 17 to 65)? (Round answer to to one decimal place )
The following time series shows the sales of supermarket chain over the last six months. Month Sales ($ 000) August 2021 250 Sep 2021 280 Oct 2021 295 Nov 2021 320 Dec 2021 380 Jan 2022 360 Develop a linear trend equation that can be used to forecast sales in Feb 2022. Forecast the sales in Feb 2021 using a three-period weighted moving average designed with the following weights: Nov 2021 weight 0.6, Dec 2021 weight 0.3 and Jan 2022 weight 0.1. Which method (A or B) is the best? Explain why.
Sales for the past 6 months at Dalworth Company are given in the following table: Month Sales July 54 August 63 September 55 October 37 November 33 December 30 What is the Mean Absolute Deviation (MAD) for August through December forecasts produced by using exponential smoothing with a = 0.2? (Note: Do not round the forecasts, and choose the closest answer.) Multiple Choice 15.28 8.75 44.09 13,25
I already know it's a negative correlation and a exponential function I just need help with the other parts and calculations!

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