LOGEST
Category: Statistical Function.
Description: Calculates an exponential curve that fits your data and returns an array of values that describes the curve.
Because this function returns an array of values, it must be entered as an array formula:
y = b*m^x OR y = (b*(m1^x1)*(m2^x2)*_)
Syntax: LOGEST(known_y's, [known_x's], [const], [stats])
The LOGEST function syntax has the following arguments:
Known_y's: set of y-values you already know in the relationship y = b*m^x.
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If the array known_y's is in a single column, then each column of known_x's is interpreted as a separate variable.
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If the array known_y's is in a single row, then each row of known_x's is interpreted as a separate variable.
Known_x's: an optional set of x-values that you may already know in the relationship y = b*m^x.
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The array known_x's can include one or more sets of variables. If only one variable is used, known_y's and known_x's can be ranges of any shape, as long as they have equal dimensions.If more then one variable is used, known_y's must be a range of cells with a height of one row or a width of one column.
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If known_x's is omitted, it is assumed to be the array {1,2,3,...} that is the same size as known_y's.
Const: logical value specifying whether to force the constant b to equal 1.
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If const is TRUE or omitted, b is calculated normally.
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If const is FALSE, b is set equal to 1, and the m-values are fitted to y = m^x.
Stats: A logical value specifying whether to return additional regression statistics.
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If stats is TRUE, LOGEST returns the additional regression statistics.
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If stats is FALSE or omitted, LOGEST returns only the m-coefficients and the constant b.