FORECAST
Calculates, or predicts, a future value by using existing values. The predicted value is a y-value for a given x-value. The known values are existing x-values and y-values, and the new value is predicted by using linear regression. You can use this function to predict future sales, inventory requirements, or consumer trends.
Syntax
FORECAST(x,known_y's,known_x's)
X is the data point for which you want to predict a value.
Known_y's is the dependent array or range of data.
Known_x's is the independent array or range of data.
Remarks
- If x is nonnumeric, FORECAST returns the #VALUE! error value.
- If known_y's and known_x's are empty or contain a different number of data points, FORECAST returns the #N/A error value.
- If the variance of known_x's equals zero, then FORECAST returns the #DIV/0! error value.
- The equation for FORECAST is a+bx, where:
and:
and where x and y are the sample means AVERAGE(known_
x's) and AVERAGE(known y's).
-zam-
-----Original Message-----
From: XL-mania@yahoogroup
Sent: Friday, September 04, 2009 3:37 PM
To: XL-mania@yahoogroup
Subject: ]] XL-mania [[ Forecast penjualan
Halo, Salam kenal..
Saya mau memforcast penjualan kue saya kedepan jadi berapa ?
Ada yang bisa bantu rumusnya ngak ?
Mis...
2006 : 500 roti
2007 : 1000 roti
2008 : 1200 roti
2009 : ?
2010 : ?
2011 : ?
dan
jan : 30
feb : 10
mar : 50
apr : 55
Mei : 52
berapa tuk bulan jun, juli dan agustus...
Terimakasih ya...
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