The table shows the total personal income in the United States (in billions of dollars) for selected years from 1960 and projected to 2024.Year Income ($ billions) YearIncome ($ billions)1960200812,100.71970201414,728.619,129.622,685.1198019902000411.5838.82307.94878.68429.7(a) These data can be modeled by an exponential function. Write the equation of this function, with x as the number of years past 1960 and y as the total personal income in billions of dollars.(Round your numerical values to three decimal places.)y = 411.5 x 1.669XRead ItX(b) Does the unrounded model overestimate or underestimate the total personal income given in the table for 2018?The model overestimates the projected total.O The model underestimates the projected total.20182024Awesome job!(c) Graphically determine the year the model predicts total personal income will reach $26 trillion.2068Need Help?Watch It

Here, x represents number of years since 1960 and y represents income (in billions of dollars) after…

Answered: The table shows the total personal…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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The following table represents the percentage of the U.S. population who have completed four years of college or more from 1976 to 2016, by gender. Year 1976 1981 1986 1991 1996 2001 2006 2011 2016 % of Women 11.3 13.4 16.1 18.8 21.4 24.3 26.9 30.1 33.7 % of Men 18.6 21.1 23.2 24.3 26 28.2 29.2 30.8 33.2 (a) What is the AROC in the percentage of women who had completed four years of college or more from the year 1986 to 2006? (b) What is the AROC in the percentage of men who had completed four years of college or more from the year 1986 to 2006? (c) From the years 1976 to 1986, the AROC in the percentage of men who had completed 4 years or more of college is AROC for women is Σ %. (d) From the years 2006 to 2016, the AROC in the percentage of men who had completed 4 years or more of college is AROC for women is (e) What are the inferences you can make from your answers to parts (a)-(d)? Choose all that apply. Σ Σ Z %, and the A. The percentage of men who are completing 4 years of more…
Using the index on housing starts in the United States per year from 2006 to 2017 given in the table below, forecast the index for 2018 using a three-year and a five year moving average. Year Actual Sales 2006 116 2007 122 2008 121 2009 121 2010 111 2011 97 2012 113 2013 125 2014 146 2015 142 2016 156 2017 162 2018
48. From the data given below, calculate seasonal indices for I, II, III and IV quarters assuming the trend is absent : Quarter Year 2014 2015 2016 2017 2013 41 45 44 40 42 35 36 38 35 37 II 38 36 38 38 39 II 40 41 42 IV 40 38
The following table shows data on new motor vehicle sales and the real personal disposable income per person in Canada between 1981 and 2001. Year New motor vehicles sales (units) Real personal disposable income per person (1992 $) 1981 1190882 16368 1982 920902 16107 1983 1081088 15765 1984 1283502 16252 1985 1530410 16710 1986 1515920 16747 1987 1533637 16856 1988 1565501 17443 1989 1483875 17875 1990 1317869 17756 1991 1287790 17165 1992 1227419 17096 1993 1192934 17016 1994 1260056 17000 1995 1166535 17047 1996 1204557 16861 1997 1424380 16994 1998 1428932 17334 1999 1542041 17735 2000 1587561 18068 2001 1597949 18185 a) Using SPSS, estimate a simple linear regression model and find the value of the parameters for the estimation of new motor vehicle sales from real disposable income per person. b)…
The table provided below shows paired data for the heights of a certain country's presidents and their main opponents in the election campaign. Construct a scatterplot. Does there appear to be a correlation? Click the icon to view the data table for election heights. Construct a scatterplot. Choose the correct graph below. OA. В. C. D. 200- 200- 200- 200- 160+ 160 President's height 160+ 160 President's height 160+ 160 President's height 160- 160 President's height 200 200 200 200 Does there appear to be a correlation between the president's height and his opponent's height? A. Yes, there appears to be a correlation. As the president's height increases, his opponent's height increases. B. Yes, there appears to be a correlation. The candidate with the highest height usually wins. C. Yes, there appears to be a correlation. As the president's height increases, his opponent's height decreases. D. No, there does not appear to be a correlation because there is no general pattern to the data.…
Suppose a government organization reported the accompanying data on the number of speed-related crash fatalities during holiday periods for the years from 1994 to 2003. Speed-Related Fatalities Holiday Period 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 New Year's Day 143 144 176 76 219 138 171 134 210 70 Memorial Day 195 176 185 197 138 183 156 190 188 181 July 4th 178 219 202 179 169 178 219 64 234 184 Labor Day 189 188 166 179 162 171 180 138 202 189 Thanksgiving 212 198 218 210 203 168 187 217 210 202 Christmas 152 129 66 183 134 191 155 210 60 198 (a) Calculate the standard deviation for the New Year's Day data. (Round the answer to three decimal places.) (b) Without calculating the standard deviation of the Memorial Day data, determine whether the standard deviation for the Memorial Day data would be larger or smaller than the standard deviation of the New Year's Day data. larger smaller (c) Memorial Day and Labor Day are holidays that always occur on Monday and Thanksgiving…
1. One of the important factors in determining population growth rates is the birth rate per 1000 individuals in a population. Below are the birth rates per 1000 individuals for 54 African Nations from a Population Reference Bureau report. The data is provided in ascending order, along with a dotplot. 14 23 25 31 34 36 38 39 41 43 46 17 23 26 31 35 37 38 39 41 43 46 18 24 28 32 35 38 39 39 41 44 47 21 25 29 33 36 38 39 40 43 45 53 23 25 30 33 36 38 39 40 43 45 18 24 30 36 42 48 54 Birth rate (per 1000 population) (a) What measures would you use to describe the center and spread of these data? Justify your answer. (b) Find the five-number summary for these data. (c) Are there any outliers'? Justify your answer. (d) Draw a boxplot of this distribution. .... ...
Provide an appropriate chart for the given data
1.37 Fur seals on St. Paul Island. Every year, hundreds of thou- sands of northern fur seals return to their haul-outs in the Pribilof Islands in Alaska to breed, give birth, and teach their pups to swim, hunt, and survive in the Bering Sea. U.S. commercial fur sealing operations continued on St. Paul until 1984, but despite a reduction in harvest, the population of fur seals has continued to decline. Possible reasons include climate shifts in the North Pacific, chang- es in the availability of prey, and new or increased interac- tion with commercial fisheries that increase mortality. Here are data on the estimated number of fur seal pups born on St. Paul Island (in thousands) from 1979 to 2014, where a dash indicates a year in which no data were collected:28 FURSEALS Arco Images GmbH/Alamy
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The figure below presents a boxplot for athlete ages in two Olympic sports: Diving Men's Springboard and Diving Women's Platform. What is the interquartile range for athlete ages in Diving Women's Platform? Age 35- 34- 33- 32- 31- 30- 29 28- 27- 26- 25- 24- 23- 22- 21- 20- 19- 18- 17- 16- 15- 14- 13- 12- 25 021 07 O 18 Event Event Diving Men's Springboard Diving Women's Platform

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