Math, asked by meetdarji1127, 15 hours ago

For the year 2018 if
observed value is 24
and trend value is 27
then for additive model
the short term
fluctuation is​

Answers

Answered by sreekanthmishra
0

Answer:

for the year 2018 if observed value is 24 and trend value is 27 then for additive model the short term fluctuation is from screen.

Step-by-step explanation:

Computation of Trend by Moving Average system Formulas and exemplifications

While watching the news you might have noticed the journalist saying that the temperature of a particular megacity or a country has broken a record. What are the measures that they've taken and studied to say so? By the system of moving normal which helps to calculate the trend in a set of data.

Time Series Analysis

computation of Trend by Moving Average system

While watching the news you might have noticed the journalist saying that the temperature of a particular megacity or a country has broken a record. The downfall of some state or country has set a new bar. How can they know about it? What are the measures that they've taken and studied to say so? These are the time- series data. You all are familiar with time- series data and the colorful factors of the time series. In this section, we will study how to calculate the trend in a set of data by the system of moving average.

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Answered by hemantsuts012
0

Answer:

get for 2018 if the observed value is 24 and the trend value is 27 then for the additive model the short term fluctuation is from the screen.

Step-by-step explanation:

Trend in time series

Time series are generally divided into three categories of long-term fluctuations, short-term or periodic fluctuations, and random variations. A long-term variation or trend shows the general tendency of data to rise or fall over a long period of time. Changes may be gradual, but they are inevitably present.

Time series analysis

Suppose you have time series data. what will you do with it? How can you calculate the effect of each component on the resulting variation in it? The main problems in time series analysis are

Identify the components and the net effect whose interaction is represented by the movement of the time series, aIsolate, study, analyze, and measure each component independently, holding the others constant.

Moving average

A moving average of period (range) m is a series of consecutive averages of m terms over time. The data set used to calculate the average starts with the first, second, third, etc. in time and m data taken at once.

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