LOGEST - The function returns an array of data that describes an exponential curve that fits the data given in Excel

LOGEST: The function returns the data array that describes the exponential curve that fits the given data. - The equation of the curve is: y = b * m ^ x or y = (b * (m1 ^ x1) * (m2 ^ x2) * _) Syntax: LOGEST (known_ys, [known_xs], [const], [ stats])

The following article introduces you to the LOGEST function - one of the functions in the statistical function group is very popular in Excel.

Picture 1 of LOGEST - The function returns an array of data that describes an exponential curve that fits the data given in Excel

Description: The function returns the array of data describing the exponential curve in accordance with the given data.

- The equation of the curve is:

y = b * m ^ x

or

y = (b * (m1 ^ x1) * (m2 ^ x2) * _)

Syntax: LOGEST (known_y's, [known_x's], [const], [stats])

Inside:

- known_y's : The set of known y values ​​in the relationship y = b * m ^ x, is a required parameter.

+ If known_y's is in a single column or row -> each known_y's column or row is interpreted as a separate variable.

- known_x's: The set of known x values ​​in the relationship y = b * m ^ x, is a required parameter.

+ known_x's may include 1 or more sets of variables.

+ If known_x's is omitted -> it is assumed to be an array of the same size as known_y's

- const: The logical value determining the value of the constant b, is an optional value including the following values:

+ const = True or ignore -> b is calculated normally.

+ const = False or ignore -> b = 1 and m are adjusted such that: y = m ^ x.

- stats: The logical value that determines the return value with additional regression statistics, is an optional value that includes:

+ stats = True  -> returns additional regression statistics.

+ stats = False  -> returns the coefficient m and the constant b .

Attention:

- The more similar the graph to the exponential curve -> the better the calculated straight line is for your data.

- Where there is only 1 independent variable x -> find the value of the intersection y according to the following formula:

+ Crossing Y (b): INDEX (LOGEST (known_y's, known_x's), 2)

- When entering array constants, you must use commas to separate.

- If the values ​​y are outside the values ​​used to define the equation -> the regression equation may be invalid.

For example:

Find the value as described in the data table below:

Picture 2 of LOGEST - The function returns an array of data that describes an exponential curve that fits the data given in Excel

1. Calculate the value of the LOGEST function with additional regression statistics (corresponding to stats = True).

- In the cell to calculate enter the formula : = LOGEST (D6: D10, C6: C10, TRUE, TRUE)

Picture 3 of LOGEST - The function returns an array of data that describes an exponential curve that fits the data given in Excel

- Press Enter -> the return value of the function is:

Picture 4 of LOGEST - The function returns an array of data that describes an exponential curve that fits the data given in Excel

2. Calculate the value of the LOGEST function with stats = False.

- In the cell to calculate enter the formula: = LOGEST (D6: D10, C6: C10, TRUE, FALSE)

Picture 5 of LOGEST - The function returns an array of data that describes an exponential curve that fits the data given in Excel

- Press Enter -> return value is:

Picture 6 of LOGEST - The function returns an array of data that describes an exponential curve that fits the data given in Excel

Above are instructions and some specific examples when using the LOGEST function in Excel.

Good luck!

Update 19 May 2020
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