The panama Railroad Company was established in 1850 to construct a railroad across the isthmus that would allow fastand easy access between the Atlantic and Pacific oceans. The following table (The Big Ditch, Mauer and Yu, 2011)provides annual retums for the stock from 1853 through 1860.Return on Panama RailroadYearCompany Stock (%)1853-1%1854-9%185519%18562%18573%185836%185921%186016%Calculate the mean annual return on Panama Railroad Company stock from 1853 through 1860.7.70%10.04%10.88%12.16%

The mean of a set of observations can be obtained by dividing the sum of the observations by the…

Answered: The panama Railroad Company was…

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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HOME Realty claims that it can sell a detached, residential house faster than any other realty company. With the aim of examining HOME's claim, you sample 20 customers who sold a detached, residential house through HOME and record the selling times (in days) of the houses. Your data are summarized in the following histogram. Relative frequency 0.4- 0.3 0.35 0.20 0.2+ 0.20 0.15 0.10 0.1- 0.0- 0 10 20 30 Selling time (in days) 40 50 Based on the histogram, find the proportion of selling times in the sample that are at least 20 days. Write your answer as a decimal, and do not round your answer. 0 × 5
The values of building contracts (in $millions) for a 12-month period following. Compare a three-month moving average forecast with an exponential smoothing forecast. Use a=0.2. Month = 1 2 3 4 5 6 7 8 9 10 11 12Value = 240 350 230 260 280 320 220 310 240 310 240 230. a) Which provides the better forecasts based on MSE? b) Which provides the better forecasts based on MAD? c) Which provides the better forecasts based on MAPE? d) What are the forecasts for the next month? No excel
Answer A.
d, e
i. Trying to predict weekly sales with a standard error of estimate of $1,955, we would conclude that 68 percent of the predictions would not be off more than $1,955, 95 percent would not be off by more $3,910, and 99.7 percent would not be off by more than $5,865.ii. The smaller the sample, the smaller the possible error as measured by the standard error of estimate.i. ut of Approximately 95% of the values lie within two standard errors of the regression line. Select one: a. (i), (ii), and (iii) are all correct statements. b. (i) and (ii) are correct statements but not (iii). c. (ii) and (iii) are correct statements but not (i). d. (i), (ii), and (iii) are all false statements. e. (i) and (iii) are correct statements but not (ii). 14
Data on the gasoline tax per gallon (in cents) as of a certain date for the 50 U.S. states and the District of Columbia are shown below. State Gasoline Taxper Gallon State Gasoline Taxper Gallon Alabama 19.1 Missouri 17.2 Alaska 9.1 Montana 27.7 Arizona 19.1 Nebraska 27.8 Arkansas 21.7 Nevada 23.7 California 37.1 New Hampshire 23.9 Colorado 23.4 New Jersey 14.5 Connecticut 25.1 New Mexico 19.0 Delaware 22.9 New York 33.9 District of Columbia 23.4 North Carolina 35.4 North Dakota 23.1 Florida 30.7 Ohio 28.1 Georgia 26.6 Oklahoma 17.1 Hawaii 18.4 Oregon 30.1 Idaho 33.1 Pennsylvania 51.3 Illinois 33.0 Rhode Island 34.0 Indiana 28.9 South Carolina 16.9 Iowa 31.9 South Dakota 30.1 Kansas 24.9 Tennessee 21.3 Kentucky 25.9 Texas 20.1 Louisiana 21.0 Utah 30.0 Maine 31.5 Vermont 30.6 Maryland 32.7 Virginia 16.9 Massachusetts 26.6 Washington 44.5 Michigan 31.0 West Virginia 33.3 Minnesota 30.5 Wisconsin 33.0 Mississippi 18.3 Wyoming 24.1…
Mariah Jacobsen is the marketing manager at ABC Electronics, a major consumer electronics supplier in the northwest. Over the last five years, sales of the company's flagship product - the Wizer Anonymizer (the WA) - have been 45000, 45500, 44500, 46000 and 44000 units. This rate of sales is considered average for the product over the last twenty years or so. Ms. Jacobsen believes that the distribution of the WA's sales is normal with a standard deviation of 1500 units. If she were asked to make a forecast of next year's sales to upper management, what is the likelihood that she would be correct if she predicts sales between 43000 and 46000?
Charlie Corporation's managers in the stamping department have been studying the overhead cost and the relationship with machine hours. The following are data from the most recent 12 months. Month Overhead Machine hours January 5,030 2,730 February 1,600 600 March 7,210 3,403 April 4,560 2,200 May 6,880 3,411 June 6,520 2,586 July 6,230 3,364 August 5,570 2,411 September 7,728 3,960 October 5,810 2,897 November 4,580 2,207 December 6,010 2,864 The manager of the department has requested a regression analysis of these two variables. The staff person performing the analysis decided to exclude February. She observed the volume of activity was very low for that month because of two factors: a severe flue outbreak and an electrical fire that disrupted operations for about 10 working days. Required: c. Using the least square (regression) analysis, compute the fixed cost. d. Using the least square (regression) analysis, how much are the estimated overheads for…
Need help with A & C.
Building Year of sale 1 2005 1 2005 2 2007 2007 2004 2007 2007 2008 2008 2008 ID Property # Area (ft.) Price 1030 11 Apartment 30 743.09 $ 246,172.68 1029 10 Apartment 29 756.21 $ 246,331.90 2002 7 Apartment 2 587.28 $ 209,280.91 2031 12 Apartment 31 1604.75 $ 452,667.01 1049 11 Apartment 49 1375.45 $ 467,083.31 3011 9 Apartment 11 675.19 $ 203,491.85 3026 9 Apartment 670.89 $ 212,520.83 3023 1 Apartment 720.81 $ 198,591.85 1031 6 Apartment $ 265,467.68 782.25 794.52 4023 3 Apartment $ 235,633.26 Customer Entity Name Surname Interval Gender Country State ID C0028 Individual Madalyn Mercer 19 18-25 F USA California Home C0027 Individual Lara Carrillo 22 18-25 F USA California Home C0112 Individual Donavan Flowers 22 18-25 M USA California Home C0160 Individual Darien Dorsey 22 18-25 M USA California Investment C0014 Individual Alessandra Perry 25 18-25 F USA California Home C0125 Individual Kaitlin Owen 26 26-35 F USA Virginia Investment C0125 Individual Kaitlin Owen 26 26-35 F USA…
The following is historical sales data ABC Clothing Inc: Month Sales (units) 5-Month Moving Avg. Jan-19 Feb-19 Mar-19 Apr-19 May-19 Jun-19 Jul-19 Aug-19 Sep - 19 Oct-19 Nov - 19 Dec-19 Jan-20 Feb-20 Mar-20 Apr-20 May-20 10 15 20 20 25 20 20 25 30 35 40 50 70 85 100 125 P a) Complete the chart by calculating the 5-month moving average and make a forecast for May 2020. b) Do you think the forecasted value for May-20 using the 5-month moving average is accurate? What are some other methods that you could have used to make a forecast?
squares from the data given below and estimate the sales for 1983 : Calculate trend values by the method of least Year : 1976 1977 1978 1979 1980 Sales of Co. A ( $ lakhs) 70 74 80 86 90 :

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