+0  
 
0
787
7
avatar+30 

Please help me, can anyone explain how to calculate Ft ? Thank you very much for your help.

 Dec 21, 2016

Best Answer 

 #4
avatar+118658 
+10

Hi arshan, and thanks Chris,

 

I haven't done it but if you enter your sales figures and you month number into the regression part of any normal sci calc you should get a=311.77 and b=4.94

 

\(expected\; \\ Y = a+bx\\ Y=311.77+4.97x\)

 

 

 

a is the y intercept. = expected sales at start

b is the gradient, since this is a linear (straight line) regression it means that every month the sales are expected to increase by 4.97 units

 

The Ft is the expected sales (using the regression line)  for any given month.

 

https://www.desmos.com/calculator/6mudoucnoy

 

 

 

 

Does that help ??

 Dec 21, 2016
 #1
avatar+129840 
+5

See if this might help  :

 

http://www.wolframalpha.com/input/?i=311.77%2B+4.97(x)+++for+x+%3D+1,2,3,4,5,6

 

 

 

cool cool cool

 Dec 21, 2016
 #3
avatar+30 
0

Hello CPhill,

 

Thank you very much for your help :)

arshan  Dec 21, 2016
 #2
avatar+1491 
-1

What is this blasphemy?! Personal finance?!

 Dec 21, 2016
 #5
avatar+118658 
+5

This is statistics High School Calculus.   :)

Melody  Dec 21, 2016
 #4
avatar+118658 
+10
Best Answer

Hi arshan, and thanks Chris,

 

I haven't done it but if you enter your sales figures and you month number into the regression part of any normal sci calc you should get a=311.77 and b=4.94

 

\(expected\; \\ Y = a+bx\\ Y=311.77+4.97x\)

 

 

 

a is the y intercept. = expected sales at start

b is the gradient, since this is a linear (straight line) regression it means that every month the sales are expected to increase by 4.97 units

 

The Ft is the expected sales (using the regression line)  for any given month.

 

https://www.desmos.com/calculator/6mudoucnoy

 

 

 

 

Does that help ??

Melody Dec 21, 2016
 #6
avatar+30 
+5

Hi Melody,

 

Thank you very much for your help :)

arshan  Jan 8, 2017
 #7
avatar+118658 
+5

What good manners,  laugh     You are very welcome arshan :)

Melody  Jan 8, 2017

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