Figure 4 shows a time series plot of the annual emissions of carbon dioxide (CO₂) from theconsumption of coal in the USA, 1980 to 2006, in millions of tons.CO2 emissions(b)2200-20001800-1600-1400-1980198219841986Figure 41988199019921994Year199619982000200220042006(a)It is proposed to use Holt's exponential smoothing to forecast future values of this time series.Give 2 reasons why this is an appropriate method for this time series.The first 3 values of this time series are: 1435, 1481, and 1429. Suggest starting values for thelevel and slope parameters.

A time series plot of the annual emissions of carbon dioxide from the consumption of coal in the…

Answered: Figure 4 shows a time series plot of…

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter5: Inverse, Exponential, And Logarithmic Functions

Section5.3: The Natural Exponential Function

Problem 40E

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Figure 6(a) shows the time series of the annual suicide rate (per 100,000 inhabitants) in Australia, between 1915 and 2004. Figure 6(b) shows the first differences of the rate and Figure 6(c) shows the second differences. Suicide rato 1600- 14 00 10.00 8.00- 6.00- (a) 1915 1325 2.00- A EM 0.00- 2.00- (1920 1045 1955 Year 1965 MY way 1075 1985 4.00- 1995 -4.00- Figure 6(a), (b) & (c) (b) 1915 (929 1942 ·1960 Year Sist y 1385 1005 2.00- 0.00- 2.00- -4.00- (c) Ho 1915 1925 1938 ·1245 A9985 Year 1205 A 1975 A ·$353 easy Is the suicide rate stationary over the period? Identify the order of differencing d required to obtain stationarity in mean and in variance. Explain your answer.
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Ever since the start of the 21st century, life expectancy has steadily increased. The table below shows the life expectancy based on the year between 2000-2020. Year Life Expectancy (years)2001 472002 502004 542006 602008 642010 682012 712014 732016 762018 782020 80 (a) Let x represent time in years starting with x = 1 for the year 2001. Using your calculator, find the logarithmic regression (LnReg) that models this situation. Call this equation L(x). Round to 3 decimal places. (b) According to the model L(x), what will be the life expectancy be in 2030? Round to the nearest year. (c) Using the model, algebraically determine what year the life expectancy will be 95 years old? Round the answer to the nearest year.
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