If the year-end price of a stock rises from $20 in 2001 to $40 in 2002 and then stays at $40 in 2003, the geometric mean of the price growth is closest to: a. 50% b. 45.41% C. 41.42% d. 30.10%
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- Table 3 gives the annual sales (in millions of dollars) of a product from 1998 to 20006. What was the average rate of change of annual sales (a) between 2001 and 2002, and (b) between 2001 and 2004?Table 6 shows the year and the number ofpeople unemployed in a particular city for several years. Determine whether the trend appears linear. If so, and assuming the trend continues, in what year will the number of unemployed reach 5 people?If year one equals P800,000, year two equals P840,000, and year three equals P896,000, the percentage to be assigned for year three in a trend analysis, assuming that year 1 is the base year, is a. 105%. b. 89%. c. 100%. d. 112%.
- The analysis of Earnings Per Share (EPS) is as follows: 2015: $5.70 2016: $3.30 2017: $6.21 2018: $6.20 2019: $4.91 a. What is the trend analysis for that EPS and why it is increasing and decreasing?John Kittle, an independent insurance agent, uses a five-year moving average to forecast the number of claims made in a single year for one of the large insurance companies he sells for. He has just discovered that a clerk in his employ incorrectly entered the number of claims made four years ago as 1,400 when it should have been 1,200.a. What adjustment should Mr. Kittle make in next year’s forecast to take into account the corrected value of the number of claims four years ago?b. Suppose that Mr. Kittle used simple exponential smoothing with a = .2instead of moving averages to determine his forecast. What adjustment is now required in next year’s forecast? (Note that you do not need to know the value of the forecast for next year in order to solve this problem.)Amex PLC has gathered following information on the sales of face mask from April 2020 toSeptember 2020.Month Sales ($)April 17,000May 18,000June 19,500July 22,000August 21,000September 23,000You are required to;a. Using linear trend equation forecast the sales of face masks for October 2020.
- Consider the given data for the percent of participation of the 18-24-year-old group, y, as a function of years after 1964, x as below: year x y 1964 0 51.0 1968 4 50.0 1972 8 49.0 1976 12 42.0 1980 16 40.0 1984 20 42.0 1988 24 36.0 1992 28 44.0 1996 32 32.0 2000 36 32.0 2004 40 43.0 2008 44 45.0 2012 48 38.0 Create a linear model of the trend for the percent of participation of the 18-24-year-old group, y, as a function of years after 1964, x, using Desmos.The following chart shows "living wage" jobs in Rochester per 1000 working age adults over a 5 year period. Year 1997 1998 1999 2000 2001 Jobs 630 680 715 745 770 What is the average rate of change in the number of living wage jobs from 1997 to 1999?--------- Jobs/YearWhat is the average rate of change in the number of living wage jobs from 1999 to 2001?---------- Jobs/Year1 The point estimate of the mean monthly rental charge is, a 1,346.74 b 1,294.94 c 1,245.14 d 1,197.25
- The following table shows the average monthly production of coal in tonnes for the year 2010-2019. Year Production (in tonnes) Year Production (in tonnes) 2010 50.0 2015 38.1 2011 36.5 2016 32.6 2012 43.0 2017 41.7 2013 44.5 2018 41.1 2014 38.9 2019 33.8 Compute the price indices from 2010 to 2019 by taking 2019 as the base year. Compare the price of 2014 and 2017. What is the percentage (%) change in the production from 2016 to 2019?The following data correspond to the rates of return or return of one of the stock market indices during the period 2016 to 2019. Year Performance 2019 23.5 2018 -38.5 2017 3.5 2016 13.6 Find the geometric mean for the data for this index.Year Gross Federal Debt ($millions) 1945 260,123 1950 256,853 1955 274,366 1960 290,525 1965 322,318 1970 380,921 1975 541,925 1980 909,050 1985 1,817,521 1990 3,206,564 1995 4,921,005 2000 5,686,338 Construct a scatter plot with this data. Do you observe a trend? If so, what type of trend do you observe? Use Excel to fit a linear trend and an exponential trend to the data. Display the models and their respective r^2. Interpret both models. Which model seems to be more appropriate? Why?
