Maryland CaféUsing the following information to answer the questions, Please take 2 decimals in calculation.MonthSales ('000s)January2437FebruaryMarch24422439April2$29MayJune4940JulyAugustSeptember394043October??1. What is the forecast for October using a 5-month moving average approach?$42,2002. What is the forecast for October using a 3-month weighted moving average approach? In order from mostrecent to least recent month, assign weights of 0.5, 0.2 and O.1$41,4703. What is the forecast for October using exponential smoothing with alpha = 0.2, July forecast was 30$35.350

The question is based on time series Given data :

Answered: Month Sales ('000s) January 2$ 37…

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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FOUR The following are the P/E ratios (price of stock divided by projected earnings per share) for 16 banks.20, 14, 19, 25, 19, 22, 31, 29, 14, 18, 15, 20, 22, 18, 18, 29Find 10th and 75th percentiles for these ratios.
A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
* 00 T %24 Question 32 > The following refer to the following data set: 118.8 115.2 113.4 137.5 101.6 93.8 137.5 120.6 137.5 101 What is the arithmetic mean of this data set? mean = What is the median of this data set? median = What is the mode of this data set? mode = Submit Question MacBook Air 08 F3 F4 F5 F6 & 23 2 4. R. G B. option command
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
Sunspot Numbers Listed below in order by row are annual sunspot numbers beginning with 1980. Is the best model a good model? Carefully examine the scatterplot and identify the pattern of the points. Which of the models fits that pattern?
Step 4 The following table summarizes the given data and the forecast values. There will not be a forecast error for the first month. Complete the columns for the forecast error and squared forecast error. Month Value Forecast Value 1 2 3 4 5 6 7 19 27 23 28 24 23 28 19 23 23 24.25 24.2 24 Forecast Error Actual - Forecast Submit Skip (you cannot come back) 27 19 = 8 0 5 -0.25 4 Total Squared Forecast Error (Actual - Forecast)² (8)² = 64 0 1.44 The MSE will be the average of the squared forecast error column. Find the average of this column, rounding the result to two decimal places. MSE =
U.S. Civilian Labor Force (thousands) Year Labor Force Year Labor Force 2007 153,918 2012 155,628 2008 154,655 2013 155,151 2009 153,111 2014 156,238 2010 153,650 2015 157,957 2011 153,995 2016 159,640 1. Fit three trend models: linear, exponential, and quadratic. Which model would offer the most believable forecasts? 2. Make forecasts using the following fitted trend models for years 2017-2019. t Exponential 11 12 13
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 table shows the price per share of Apple stock at the beginning of different months. Calculate the four-month weighted moving average for October 2021. Round your answer to the nearest cent. Month July 2021 August 2021 September 2021 October 2021 November 2021 December 2021 Apple Stock Price Simple Moving Average Weighted Moving Average $136.60 $146.36 $152.83 $141.90 $148.99 $167.48 ???
Could you please tell me if my work is correct? Forbes magazine published data on the best small firms in 2012. These were firms which had been publicly listed for at least a year, have a stock price of at least $5 per share, and have reported annual revenue between $5 million and $1 billion. The table shows the ages of the chief executive officers for the first 60 ranked firms. Age Frequency Relative Frequency Cumulative Relative Frequency 40–44 3 0.05 0.05 45–49 11 0.18 0.23 50–54 13 0.22 0.45 55–59 16 0.27 0.72 60–64 10 0.17 0.88 65–69 6 0.10 0.98 70–74 1 0.02 1.00 Total: 60 1 How I got the calculations: Age Frequency Relative Frequency Cumulative Relative Frequency 40–44 3 =F10/F17 =G10 45–49 11 =F11/F17 =H10+G11 50–54 13 =F12/F17 =H11+G12 55–59 16 =F13/F17 =H12+G13 60–64 10 =F14/F17 =H13+G14 65–69 6 =F15/F17…
The number of adult Americans who smoke continues to drop. The table contains estimates of the percentages of adults (ages 1818 and over) who were smokers in the years between 1965 and 201715.and 201715. ???? ?Year � ??????? ?Smokers � 1965 41.94 1970 37.4 1974 37.1 1978 34.1 1980 33.2 1983 32.1 1985 30.1 1987 28.8 1990 25.5 1993 25.0 1995 24.7 1997 24.7 1999 23.5 2001 22.8 2002 22.5 2004 20.9 2006 20.8 2008 20.6 2010 19.3 2012 18.1 2014 16.8 2017 14.0 According to your regression line, how much did smoking decline per year during this period, on the average? Give your answer to three decimal places. average smoking decline: percentage points

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