GROWTH

Calculates predicted exponential growth by using existing data. GROWTH returns the y-values for a series of new x-values that you specify by using existing x-values and y-values. You can also use the GROWTH worksheet function to fit an exponential curve to existing x-values and y-values.

Syntax

GROWTH(known_y's,known_x's,new_x's,const)

Known_y's   is the set of y-values you already know in the relationship y = b*m^x.

Known_x's   is an optional set of x-values that you may already know in the relationship y = b*m^x.

New_x's   are new x-values for which you want GROWTH to return corresponding y-values.

Const   is a logical value specifying whether to force the constant b to equal 1.

Remarks

Examples

This example uses the same data as the LOGEST example. The sales for the 11th through the 16th months are 33,100, 47,300, 69,000, 102,000, 150,000, and 220,000 units, respectively. Assume that these values are entered into six cells named UnitsSold.

When entered as an array formula, the following formula predicts sales for months 17 and 18 based on sales for the previous six months:

GROWTH(UnitsSold,{11;12;13;14;15;16},{17;18}) equals {320,197;468,536}

If the exponential trend continues, sales for months 17 and 18 will be 320,197 and 468,536 units, respectively.

You could use other sequential numbers for the x-value arguments, and the predicted sales would be the same. For example, you could use the default value for known_x's, {1;2;3;4;5;6}:

GROWTH(UnitsSold,,{7;8},) equals {320197;468536}