GROWTH

Given partial data about an exponential growth trend, fits an ideal exponential growth trend and/or predicts further values.

Syntax

GROWTH(known_data_y, [known_data_x], [new_data_x], [b])

• known_data_y - The array or range containing dependent (y) values that are already known, used to curve fit an ideal exponential growth curve.

  • If known_data_y is a two-dimensional array or range, known_data_x must have the same dimensions or be omitted.

  • If known_data_y is a one-dimensional array or range, known_data_x may represent multiple independent variables in a two-dimensional array or range. I.e. if known_data_y is a single row, each row in known_data_x is interpreted as a separated independent value, and analogously if known_data_y is a single column.

• known_data_x - [ OPTIONAL - {1,2,3,...} with same length as known_data_y by default ] - The values of the independent variable(s) corresponding with known_data_y.

  • If known_data_y is a one-dimensional array or range, known_data_x may represent multiple independent variables in a two-dimensional array or range. I.e. if known_data_y is a single row, each row in known_data_x is interpreted as a separated independent value, and analogously if known_data_y is a single column.

• new_data_x - [ OPTIONAL - same as known_data_x by default ] - The data points to return the y values for on the ideal curve fit.

  • The default behavior is to return the ideal curve fit values for the same x inputs as the existing data for comparison of known y values and their corresponding curve fit estimates.

• b - [ OPTIONAL - TRUE by default ] - Given a general exponential form of y = b*m^x for a curve fit, calculates b if TRUEor forces b to be 1 and only calculates the m values if FALSE.

Sample Usage

	A	B	C	D
1	Month	Sales
2	1	$25.93
3	2	$30.00
4	3	$30.00
5	4	$34.01
6	5	$30.00
7	6	$34.01
8	7	$25.93
9	8	$30.00
10	9	$30.00
11
12
13
14		Month	Predicted Sales	Formula Used
15	GROWTH	10	$30.60	=GROWTH(B2:B10,A2:A10,B15)
16		11	$30.75	=GROWTH(B2:B10,A2:A10,B16)
17		12	$30.90	=GROWTH(B2:B10,A2:A10,B17,2)

In order to use the GROWTH formula, start with your edited Excellentable:

Then type in the GROWTH formula in the area you would like to display the outcome:

By adding the values you would like to calculate the GROWTH formula for, Excellentable will generate the outcome:

See Also

TREND: Given partial data about a linear trend, fits an ideal linear trend using the least squares method and/or predicts further values.

LOGEST: Given partial data about an exponential growth curve, calculates various parameters about the best fit ideal exponential growth curve.

LINEST: Given partial data about a linear trend, calculates various parameters about the ideal linear trend using the least-squares method.