secular trend , seasonal variation , cyclic variation & irregular variation population,technology;climate &weather condition,customs,traditions&habits;
they will show the variation between distance & time
It is irregular.
It is an irregular polygon.
No, its not alway irregular.
secular trend, seasonal variation, cyclical variation, and irregular variation
secular trend , seasonal variation , cyclic variation & irregular variation population,technology;climate &weather condition,customs,traditions&habits;
an irregular variation is one which occurs predictably and at random, usually over a very short time period. it is impossible to allow for irregular variations in forecasting rather, they are used to explain abnormalities after the event. hope this helps :-)
The irregular, unsystematic and unpredictable variations caused by some unusual events such as floods, strikes, wars, earthquakes and fires etc. are called residual variations. these variations are also known as accidental, irregular or erratic variations.
The past tense of the verb "throw" is "threw." It is a irregular variation of the base form of the verb.
irregular with a pattern
Cyclical variation : cyclical variations are recurrent variations in a time series usually last longer than a year. Most of the time series in business and Economics show such cyclical variation. A business cycle has four wheel defined periods : prosperity, decline, depression and improvement.
cyclical variation: Piece to piece variation. Often used to describe a repeating pattern, such as a seasonal variation in sales that peaks before Christmas.
Adaptation
You can tell if your menstrual cycle is irregular because you'll be menstruating or experiencing vaginal bleeding at random times. Anything up to a weeks variation from your average menstrual cycle is considered to be normal, if there are weeks or months difference then they're irregular.
A schedule variation is the difference between the time an activity is scheduled to be completed and the actual time it is completed. Any deviation in the scheduled time causes a variation.
COMPONENTS OF TIME SERIES The four components of time series are: 1.Secular trend 2.Seasonal variation 3.Cyclical variation 4.Irregular variation Secular trend:A time series data may show upward trend or downward trend for a period of years and this may be due to factors like increase in population,change in technological progress ,large scale shift in consumers demands,etc.For example,population increases over a period of time,price increases over a period of years,production of goods on the capital market of the country increases over a period of years.These are the examples of upward trend.The sales of a commodity may decrease over a period of time because of better products coming to the market.This is an example of declining trend or downward trend.The increase or decrease in the movements of a time series is called Secular trend. Seasonal variation: Seasonal variation are short-term fluctuation in a time series which occur periodically in a year.This continues to repeat year after year.The major factors that are responsible for the repetitive pattern of seasonal variations are weather conditions and customs of people.More woollen clothes are sold in winter than in the season of summer .Regardless of the trend we can observe that in each year more ice creams are sold in summer and very little in Winter season.The sales in the departmental stores are more during festive seasons that in the normal days. Cyclical variations:Cyclical variations are recurrent upward or downward movements in a time series but the period of cycle is greater than a year.Also these variations are not regular as seasonal variation.There are different types of cycles of varying in length and size.The ups and downs in business activities are the effects of cyclical variation.A business cycle showing these oscillatory movements has to pass through four phasesprosperity,recession,depression and recovery.In a business,these four phases are completed by passing one to another in this order.Irregular variation: Irregular variations are fluctuations in time series that are short in duration,erratic in nature and follow no regularity in the occurrence pattern.These variations are also referred to as residual variations since by definition they represent what is left out in a time series after trend ,cyclical and seasonal variations.Irregular fluctuations results due to the occurrence of unforeseen events like floods,earthquakes,wars,famines,etc.