davemcwish
New Member
- Joined
- Nov 12, 2013
- Messages
- 11
I have the following data that I've plotted and trying to forecast when 'Value' reaches 8
[TABLE="width: 193"]
<colgroup><col><col></colgroup><tbody>[TR]
[TD][TABLE="width: 500"]
<tbody>[TR]
[TD]Date[/TD]
[TD]Value[/TD]
[/TR]
[TR]
[TD]01 Feb 2015[/TD]
[TD]6.9330[/TD]
[/TR]
[TR]
[TD]04 Mar 2015[/TD]
[TD]6.9588[/TD]
[/TR]
[TR]
[TD]04 April 2015[/TD]
[TD]6.9847[/TD]
[/TR]
[TR]
[TD]04 May 2015[/TD]
[TD]7.0697[/TD]
[/TR]
[TR]
[TD]04 June 2015[/TD]
[TD]7.1576[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][/TD]
[/TR]
</tbody>[/TABLE]
Using a linear forecast trendline, I get the equation
y=0.0019x-71.545
which gives a value of x as 41865, for y=8
This doesn't seem right as the first value I have is for 01 Feb 2015 (42036)
Interestingly, if I switch to a Logarithmic trendline I get
y=78.558ln(x)-829.44
which gives a reasonable value of 42622 (9 Sep 2015)
Anyone got an answer to why the linear trendline equation gives a seemingly incorrect value ?
[TABLE="width: 193"]
<colgroup><col><col></colgroup><tbody>[TR]
[TD][TABLE="width: 500"]
<tbody>[TR]
[TD]Date[/TD]
[TD]Value[/TD]
[/TR]
[TR]
[TD]01 Feb 2015[/TD]
[TD]6.9330[/TD]
[/TR]
[TR]
[TD]04 Mar 2015[/TD]
[TD]6.9588[/TD]
[/TR]
[TR]
[TD]04 April 2015[/TD]
[TD]6.9847[/TD]
[/TR]
[TR]
[TD]04 May 2015[/TD]
[TD]7.0697[/TD]
[/TR]
[TR]
[TD]04 June 2015[/TD]
[TD]7.1576[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][/TD]
[/TR]
</tbody>[/TABLE]
Using a linear forecast trendline, I get the equation
y=0.0019x-71.545
which gives a value of x as 41865, for y=8
This doesn't seem right as the first value I have is for 01 Feb 2015 (42036)
Interestingly, if I switch to a Logarithmic trendline I get
y=78.558ln(x)-829.44
which gives a reasonable value of 42622 (9 Sep 2015)
Anyone got an answer to why the linear trendline equation gives a seemingly incorrect value ?