How would we forecast the revenues for 2015 & 2016? We use the given revenue from the previous year to determine the for
Posted: Thu May 12, 2022 10:42 am
How would we forecast the revenues for 2015 & 2016?
We use the given revenue from the previous year to determine the
forecasted revenue. So the "?" in 2015 would end up being
(1.571243)+(1.004289)(45.9) to give us a forecasted revenue value
of 47.6681. ***FOR 2016, If we have no given value of the revenue
for 2015, would we have to use the forecasted value from 2015 in
place of it? This didn't really make sense to me because we would
be using a different value than the rest of the formulas but then
again, we do not have a given Revenue for the year 2015.
I am confident about the forecasted value for 2015 but unsure of
how to calculate 2016.
A Year 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 B с Revenues Lag 1 Forecast 18.8 19.8 20.4519 20.5 21.4562 20.1 22.1592 19.6 21.7575 21.0 21.2553 21.9 22.6613 23.1 23.5652 24.1 24.7703 28.9 25.7746 31.9 30.5952 31.0 33.6081 35.1 32.7042 46.5 36.8218 48.0 48.2707 46.7 49.7771 45.9 48.4715 ? ?
Intercept Lag 1 Coefficients 1.571243 1.004289
- How Would We Forecast The Revenues For 2015 2016 We Use The Given Revenue From The Previous Year To Determine The For 1 (47.08 KiB) Viewed 26 times
- How Would We Forecast The Revenues For 2015 2016 We Use The Given Revenue From The Previous Year To Determine The For 2 (14.42 KiB) Viewed 26 times
forecasted revenue. So the "?" in 2015 would end up being
(1.571243)+(1.004289)(45.9) to give us a forecasted revenue value
of 47.6681. ***FOR 2016, If we have no given value of the revenue
for 2015, would we have to use the forecasted value from 2015 in
place of it? This didn't really make sense to me because we would
be using a different value than the rest of the formulas but then
again, we do not have a given Revenue for the year 2015.
I am confident about the forecasted value for 2015 but unsure of
how to calculate 2016.
A Year 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 B с Revenues Lag 1 Forecast 18.8 19.8 20.4519 20.5 21.4562 20.1 22.1592 19.6 21.7575 21.0 21.2553 21.9 22.6613 23.1 23.5652 24.1 24.7703 28.9 25.7746 31.9 30.5952 31.0 33.6081 35.1 32.7042 46.5 36.8218 48.0 48.2707 46.7 49.7771 45.9 48.4715 ? ?
Intercept Lag 1 Coefficients 1.571243 1.004289