Difference between revisions of "Documentation/How Tos/Calc: INTERCEPT function"

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: The parameters <tt>'''xvalues'''</tt> and <tt>'''yvalues'''</tt> are always evaluated as * [[Documentation/How_Tos/Using Arrays|array formulas]].
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* [[Documentation/How_Tos/Calc: FORECAST function|FORECAST]],
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* [[Documentation/How_Tos/Calc: SLOPE function|SLOPE]],
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* [[Documentation/How_Tos/Calc: Statistical functions|Statistical functions]]
 
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* [[Documentation/How_Tos/Calc: Functions listed by category|Functions listed by category]]}}

Revision as of 14:01, 25 February 2009


INTERCEPT

Fits a straight line to data using linear regression and returns its intercept on the y-axis.

Syntax:

INTERCEPT(yvalues; xvalues)

yvalues and xvalues are single row or column ranges specifying points in a set of data. yvalues and xvalues must be the same size.
INTERCEPT fits a straight line through these data points, using the linear regression method (least squares). It then returns the y value where that straight line crosses the y-axis.
The equation of a straight line may be given as y = a + bx. The linear regression method calculates:
Calc linregress b.png
and
Calc linregress a.png.
a is the y-axis intercept returned by this function.


Advanced topic:
The parameters xvalues and yvalues are always evaluated as array formulas.

Example:

INTERCEPT(B2:B6; A2:A6)

where the x values in A2:A6 are 1, 2, 3, 4, 5 and the y values in B2:B6 are 2, 4, 7, 8, 10 returns 0.2. The equation of the straight line found is very nearly y = 2x (and would be if B4 contained 6) - thus the straight line very nearly (but not quite) goes through the origin.

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