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linest_ssreg ([{set_expression}][ distinct ] [ total []
] y-expression, x-expression [, y0 [, x0 ]] )
returns the aggregated regression sum of squares 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_ssreg 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_ssreg( Y, X )
linest_ssreg( A/B, X*Y/3 )
linest_ssreg( total Y, X )
linest_ssreg( total Y, X)
linest_ssreg( Y, X, 0 )
linest_ssreg( Y, X, 1, 1 )
linest_ssresid ([{set_expression}] [ distinct ] [ total [] ] y-expression, x-expression [, y0 [, x0 ]] )
returns the aggregated residual sum of squares 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_ssresid 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:
780
linest_ssresid( Y, X )
linest_ssresid( A/B, X*Y/3 )
linest_ssresid( total Y, X )
linest_ssresid( total Y, X)
linest_ssresid( Y, X, 0 )
linest_ssresid( Y, X, 1, 1 )