TREND
Category: Statistical Function.
Description: Returns values along a linear trend.
Fits a straight line to the arrays known_y's and known_x's.
Returns the y-values along that line for the array of new_x's that you specify.
Syntax: TREND(known_y's, [known_x's], [new_x's], [const])
The TREND function syntax has the following arguments:
Known_y's: set of y-values you already know in the relationship y = mx + b.
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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: optional set of x-values that you may already know in the relationship y = mx + b.
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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 than one variable is used, known_y's must be a vector.
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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
New_x's: new x-values for which you want TREND to return corresponding y-values.
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New_x's must include a column (or row) for each independent variable just as known_x's does.So if known_y's is in a single column, known_x's and new_x's must have the same number of columns. If known_y's is in a single row, known_x's and new_x's must have the same number of rows.
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If new_x's is omitted, it is assumed to be the same as known_x's.
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If both known_x's and new_x's are omitted, they are 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 0.
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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 0, and the m-values are fitted to y = mx.