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- This topic has 6 replies, 2 voices, and was last updated 2 years ago by
John Moffat.
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- July 15, 2022 at 8:59 pm #660626
The following variations and trend have been calculated for sales
over a period of time using the additive model
Seosnal variationQuarter1 +25
Quarter2 -10
Quarter3 -30
Quarter4
?The last known trend reading was taken in year 3, quarter 3 and was £1,750.
18 What would be the seasonal variation for quarter 4?
19 What would be the time series value for year 4 quarter 3?
July 15, 2022 at 9:07 pm #660628Ans 18 is + 15 and ans for 19 is 1920
Sir for 18 shouldn’t the ans be 19 ( 25-10-30+x=4) so x = 19
And for 19 I m unable to get the correct ans
Could you please explain both of them
( your feedback would be extremely helpful)July 16, 2022 at 9:57 am #66066418: As I explain in my lectures, the seasonal variations should add up to zero.
+25 – 10 – 30 = -15. Therefore the seasonal variation for quarter 4 use be +15.You really cannot expect me to answer questions if you are not watching my free lectures!
19: There is not enough information to be able to answer this from what you have typed.
July 16, 2022 at 10:11 am #660670Sir trend is given +50 per quarter
Sir for 19 ans is given 1920July 16, 2022 at 10:18 am #660673Year 4 quarter 3 is four quarters after year 3 quarter 3, and therefore the trend value is 1,750 + (4 x 50) = 1,950.
The seasonal variation for quarter 3 is -39, and therefore the time series value is 1,950 – 30 = 1,920.
July 16, 2022 at 1:40 pm #660678Sir thank u so much I would like to express my sincere gratitude to you ,thank u so much sir
July 16, 2022 at 3:36 pm #660683You are welcome, but please do watch my free lectures!!
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