In the first worked example, by looking year to year within each season, we can observe a general upward trend in soft drink sales across the years, even after removing the seasonal effects. Each season shows some variation, but the deseasonalised data highlights the steady overall growth.
I was actually looking for how to calculate an unknown Figure, cause I have all the seasonal indices, but this was still pretty cool, and I learnt something. Thanks!
Hi, I was following your tutorial but when I got to the deseasonalized data I was a bit lost in the calculations. My calculation constantly reads that 75/1.18 is 63.6. It is the same with many other calculations with them being slightly off with the decimal place. I was just wondering if I am using the wrong values when depersonalizing the data?
Hi Juliet. Your answers will be slightly different to mine if you are rounding mid-question. I was using a spreadsheet for my calculations which has a great deal of precision with no rounding mid-question. For example, 1.1.8 is actually 1.17647... This can make small differences as the question progresses. Hope that helps!
Its a crime I found your channel literally the night before my external, keep up the awsome work you make me wish i had a time machine 😊
Haha I'm glad my videos could be of some help to you! 😊 Good luck today
current yr 12 student studying for my qce external maths exams and this helped alot!!! thank you !!
Yay! Thanks for letting me know. Best of luck :)
Bro same!!!
In the first worked example, by looking year to year within each season, we can observe a general upward trend in soft drink sales across the years, even after removing the seasonal effects. Each season shows some variation, but the deseasonalised data highlights the steady overall growth.
I’m a maths teacher and I needed to learn this topic to tutor it this afternoon. Great lesson. Love that your voice is so clear and nice to listen to.
Thank you for your lovely feedback. Happy to assist! 💜
I was actually looking for how to calculate an unknown Figure, cause I have all the seasonal indices, but this was still pretty cool, and I learnt something. Thanks!
Glad it helped
If you want to email me an example of what you're trying to do, I can send you a solution
I'm currently studying for qce general maths exams. These videos help so much, thanks so much for making this channel!!
You're so welcome, and best of luck!
Thank you for providing such a succinct video! it helps so much.
You're so welcome!
Very well explained. Fantastic.
Many thanks!
what a lesson. this helped alot. thank you
Thanks! Glad to help 😁
This is very helpful! Thanks a lot.
You're welcome 😘
This is very good lesson
Thanks so much🙏🙏
You're welcome! Glad it was useful x
Hi, I was following your tutorial but when I got to the deseasonalized data I was a bit lost in the calculations. My calculation constantly reads that 75/1.18 is 63.6. It is the same with many other calculations with them being slightly off with the decimal place. I was just wondering if I am using the wrong values when depersonalizing the data?
Hi Juliet. Your answers will be slightly different to mine if you are rounding mid-question. I was using a spreadsheet for my calculations which has a great deal of precision with no rounding mid-question. For example, 1.1.8 is actually 1.17647... This can make small differences as the question progresses. Hope that helps!
i've worked with a moving average and when i average the seasonal indices, they average exactly 1... is that correct? how do i fix it?
From memory the sum of the seasonal indices should be 1.
Could we've predicted sales of next quarters by multiplying it with seasonal index back ?
You need the equation of the least squares regression line to predict future sales. See other video in this series!
Respect for helping everyone and me🙏🥲
Always a pleasure!