Manuals/calci/REGRESSION

REGRESSIONANALYSIS(XRange, YRange, ConfidenceLevel, NewTableFlag)

where,

XRange - Input range should be one block.

YRange - Input range should be one block.

ConfidenceLevel - represents the confidence level for percentage nad value should in between 0 and 100.the default percentage is 95.

NewTableFlag - is the TRUE or FALSE.If set as TRUE,the result in new sheet. If NewTableFlag is omitted, it assumed to be FALSE.

Regression analysis is a technique used for the modeling and analysis of numerical data consisting of values of a dependent variable(response variable) and of one or more independent variables(explanatory variables).

Lets see an example in (Column3Row1)

=REGRESSIONANALYSIS(R1C1:R6C1, R1C2:R6C2, 95, TRUE)

REGRESSIONANALYSIS returns the result in new sheet(5Space).

=REGRESSIONANALYSIS(R1C1:R6C1, R1C2:R6C2, -5, TRUE)

RANKANDPERCENTILE returns the #ERROR(ConfidenceLevel=-5).

REGRESSION

Syntax

Remarks

Examples

Description

If ConfidenceLevel < 0 or ConfidenceLevel >100, REGRESSIONANALYSIS returns the #ERROR.

If Lengthof XRange != Lengthof YRange, it returns the #ERROR.

	Column1	Column2	Column3	Column4
Row1	1	3	5Space
Row2	7	8
Row3	12	10
Row4	17	18	#ERROR
Row5	37	36	File:Copy-cube.gif
Row6	6	5

File:Calci1.gif

Regression Analysis
SUMMARY OUTPUT
Regression	Statistics
Multiple R	0.9933541399262806
R Square	0.9867524473086807
AdjustedRSquare	0.9834405591358509
StandardError	1.6492920155683643
Observations	6

ANOVA
Source of Variation	Sum of Squares	Degree of Freedom	Mean of Squares	F	Significance F
Regression:	810.452676722863	1	810.452676722863	297.9425620115529	0.0000661044188125954
Residual:	10.880656610470271	4	2.720164152617568
Total:	821.3333333333333	5


	Coefficients	Standard Error	T Statistics	Probability	Lower 95%	Upper 95%	Lower95%	Upper95%
Intercept	-0.5146406388642397	1.0473758171565741	-0.4913619642865071	0.6489114785470887	-3.4226220244213423	2.393340746692863	-3.422622024421344	2.3933407466928646
X Variable	1.038598047914818	0.06017016854489271	17.26101277479262	0.00006610441881260698	0.8715388823047108	1.2056572135249252	0.8715388823047107	1.2056572135249252

RESIDUAL OUTPUT
Observation	Predicted Y	Residuals	Standard Residuals
1	2.601153504880214	-1.6011535048802141	-1.0854015072917171
2	7.7941437444543045	-0.7941437444543045	-0.5383398997096632
3	9.871339840283941	2.128660159716059	1.4429915300597537
4	18.180124223602483	-1.1801242236024833	-0.7999911358813972
5	36.8748890860692	0.1251109139307971	0.08481109034532615
6	4.678349600709851	1.3216503992901493	0.8959299224777