Consider the following time series data:ObservationValue110215318412206.217218249.26What is the exponentially smoothed value for period 4, using a smoothing constant of 0.4?Select one:а.13.440O b. 13.600С.14.400O d. 16.000O e.16.064

Given that Time series data Observation Value 1 10 2 15 3 18 4 12 5 20 6 21 7 21…

Answered: What is the exponentially smoothed…

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 concentration of DDT (dichlorodiphenyltrichloroethane) in Lake Erie has been declining exponentially over the last several decades. In 1970, the DDT concentration was 13.59 ppm (parts per million). In 1985, the DDT concentration was 2.37 ppm. Part 1. Using these data points, determine the exponential decay function to model the DDT concentration decline in terms of years, tt, where t=0 represents the year 1970. (Round values to 4 decimal places) Part 2.
B: Would the graph of y= 1.5x show exponential growth or exponcntial decay?
Suppose sales for the past 6 months have been100, 90, 84, 113, 92, and 96 Using a smoothing coefficient of 0.5, what is the exponentially smoothed value for the 4th period? (please round your answer to 1 decimal place)
Imagine that COVID-19 had spread exponentially in Maine since the first case (on March 12). Using the model f(t)=A02t/d with A0=1 and t= number of days since March 12, find D with the knowledge that there were 7,603 total cases on Nov. 7, 240 days after March 12.
In 2006, the murder of Alexander Litvinenko, a Russian dissident, was thought to be by poisoning from the rare and highly radioactive element polonium-210 (210P0). The half-life of 210PO is 138.4 yr. If 0.1 mg of 210PO is present in a sample then |A(t) = 0.1 and interpret the meaning in context. Round to 3 decimal places if necessary. t/138.4 gives the amount A(t) (in mg) present after t years. Evaluate the function for the given values of t a. A(138.4) b. A(276.8) C. A(500)
Yearly log production in units was regressed against time where t = 1 in 2015. This resulted in the following trend equation: log y 0.52 + 0. 5t Forecast production for 2023. Round to the nearest unit. Do not include any spaces or commas.

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