The average salary of Major League Baseball players on opening day from 2000 to 2010 is stored in the following table.YearSalary ($millions)(Please let the coded year start from 0)20002001200220032004200520062007200820092010A. Fit a linear trend forecasting model. What is the coefficient of the coded year?B. Fit a quadratic trend forecasting model. What is the coefficient of the quadratic term?C. Which model is the most appropriate? AD. Using the most appropriate model, forecast the average salary for 2011.1.992.292.382.582,492.632.832.923.133.263.27(Round to 3 decimal places)(Round to 5 decimal places)(put "A" for linear model, "B" for quadratic model)(round to 3 decimal places)

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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 gives the average monthly exchange rate between the U.S. dollar and the euro for 2009. It shows that 1 euro was equivalent to 1.289 U.S. dollars in January 2009. Develop a trend line that could be used to predict the exchange rate for 2010. Use this model to predict the exchange rate for January 2010 and February 2010. MONTH ______________________ EXCHANGE RATE January ....................................... 1.289 February ...................................... 1.324 March ......................................... 1.321 April .......................................... 1.317 May ........................................... 1.280 June ........................................... 1.254 July ........................................... 1.230 August ....................................... 1.240 September ................................... 1.287 October ..................................... 1.298 November .................................. 1.283 December…
Q6 MCQ . GDP does not directly include: the value of goods produced domestically and sold abroad. the value of intermediate goods sold during a period. the value of services rendered during a period. the value of final goods and services produced, but not sold, during a period.
Find the seasonal variations by the method of 'ratio to trend' for the followin data of sales of a company : II III IV I Year/Qtrs. 2011 80 72 68 60 68 104 100 88 2012 80 116 108 96 2013 108 152 136 124 2014 160 184 172 164 2015
Each year forbes ranks the world’s most valuable brands. A portion of the data for 82 ofthe brands in the 2013 forbes list is shown in Table 2.12 (forbes website, february, 2014).The data set includes the following variables:brand: The name of the brand.Industry: The type of industry associated with the brand, labeled Automotive& Luxury, Consumer Packaged Goods, financial Services, Other, Technology.brand Value ($ billions): A measure of the brand’s value in billions of dollarsdeveloped by forbes based on a variety of financial information about the brand.1-Yr Value Change (%): The percentage change in the value of the brand over theprevious year.brand Revenue ($ billions): The total revenue in billions of dollars for the brand.a. Prepare a crosstabulation of the data on Industry (rows) and brand Value ($ billions).Use classes of 0–10, 10–20, 20–30, 30–40, 40–50, and 50–60 for brand Value($ billions).b. Prepare a frequency distribution for the data on Industry.
C8. According to the Pew Research Center (2015), recent immigrants are better educated than earlier immigrants to the United States. The change was attributed to the availability of better education in each region or country of origin. The percentage of immigrants 25 years of age and older who completed at least high school is reported in this table for 1970 to 2013. Write a statement describing the change over time in the percentage who completed at least a high school degree. 1970 1980 1990 2000 2013 Mexico 14 17 26 30 48 Other Central/South America 57 53 60 66 Asia 75 72 75 82 84 48 68 81 87 95 Europe 36 48 52 58 72 Caribbean 81 91 88 85 85 Africa Source: Pew Research Center, Modern Immigration Wave Brings 59 Million to U.S., Driving Population Growth and Change Through 2065, 2015. Retrieved from https://www.pewresearch.org/hispanic/2015/09/28/modern- immigration-wave-brings-59-million-to-u-s-driving-population-growth-and-change-through-2065/ 52
The table below shows a recent graduate's credit card balance each month after graduation. Month 1 2 3 4 5 6 7 8 Debt ($) 620.00 761.88 899.80 1039.93 1270.63 1589.04 1851.31 2154.92 a) Look at the graph on your calculator. Based on this graph, what type of equation should represent this situation? Explain your answer. b) Use your calculator to find the equation that you feel best fits this data. What is the equation? c) Based on this equation, what is the predicted amount of debt for month 9 after graduation? View keyboard shortcuts EditViewInsertFormatToolsTable 12pt Paragraph
Relate how the independent and dependent variables affect each other.
2. The number of public branch libraries in the United States for several years is given in the table: Year Public Library Branches G500 1994 6223 1995 6172 1996 Branches 6205 1997 6332 1998 6435 a. Graph the data b. Find an equation for a model of these data. Year b. Using your model, estimate the number of branch libraries in 2000 c. Use the graph to estimate in what year(s) there are 6500 branch Libraries
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
6. The annual population of Afghanistan is available in the global economy data set. a. Plot the data and comment on its features. Can you observe the effect of the Soviet- Afghan war? b. Fit a linear trend model and compare this to a piecewise linear trend model with knots at 1980 and 1989. c. Generate forecasts from these two models for the five years after the end of the data, and comment on the results.
With aging, body fat increases and muscle mass declines. The line graphs show the percent body fat in adult females and males as they age from 25 to 75 years. Use this information to complete parts (a) through (c) below. a. Find an estimate for the percent body fat in 45-year-old females. % (Type a whole number.) Percent Body Fat 40 36- 32- 28- 24 20+ 15 Percent Body Fat in Adults 25 35 45 Age Females Males 55 65 75
An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…

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