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linest_b( Y, X, 1, 1
linest_r2 ([{set_expression}] [ distinct ] [ total [] ]
y-expression, x-expression [, y0 [, x0 ]] )
returns the aggregated r2 value (coefficient of determination) of a linear regression defined by the equation
y=mx+b for a series of coordinates represented by paired numbers in x-expression and y-expression iterated
over the chart dimension(s). Text values, null values and missing values in any or both pieces of a data-pair
will result in the entire data-pair to be disregarded.
An optional valye y0 may be stated forcing the regression line to pass through the y-axis at a given point.
By stating both y0 and x0 it is possible to force the regression line to pass through a single fixed coordinate.
Unless both y0 and x0 are stated, the function requires at least two valid data-pairs to calculate. If y0 and x0
are stated, a single data pair will do.
This function has the same limitations for nested aggregation as the avg([{set_expression}] [ distinct ] [
total []] expression) (page 774) function. The linest_r2 function supports Set Analysis (page
799) and the total qualifier in the same way as the avg([{set_expression}] [ distinct ] [ total []] expression) (page 774) function.
Examples:
linest_r2( Y, X )
linest_r2( A/B, X*Y/3 )
linest_r2( total Y, X )
linest_r2( total Y, X)
linest_r2( Y, X, 0 )
linest_r2( Y, X, 1, 1 )
linest_sem ([{set_expression}][ distinct ] [total [] ]
y-expression, x-expression [, y0 [, x0 ]] )
returns the aggregated standard error of the m value of a linear regression defined by the equation y=mx+b
for a series of coordinates represented by paired numbers in x-expression and y-expression iterated over the
chart dimension(s). Text values, null values and missing values in any or both pieces of a data-pair will
result in the entire data-pair to be disregarded.
An optional valye y0 may be stated forcing the regression line to pass through the y-axis at a given point.
By stating both y0 and x0 it is possible to force the regression line to pass through a single fixed coordinate.
Unless both y0 and x0 are stated, the function requires at least two valid data-pairs to calculate. If y0 and x0
are stated, a single data pair will do.
This function has the same limitations for nested aggregation as the avg([{set_expression}] [ distinct ] [
total []] expression) (page 774) function. The linest_sem function supports Set Analysis
(page 799) and the total qualifier in the same way as the avg([{set_expression}] [ distinct ] [ total []] expression) (page 774)function.
Examples:
linest_sem( Y, X )
linest_sem( A/B, X*Y/3 )
linest_sem( total Y, X )
linest_sem( total Y, X)
linest_sem( Y, X, 0 )
linest_sem( Y, X, 1, 1 )
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