Correlation.PearsonCorrelation Method 

Calculates Pearson's correlation coefficient of a set of pairs of points: (xValues[0], yValues[0]), (xValues[1], yValues[1]),... , (xValues[n], yValues[n]).

Parameters

xValues

The values of the first elements within the pairs.

yValues

The values of the second elements within the pairs.

Remarks

Example

Within this worked example we compare our results with the results given by the CORREL function from Excel.

Data Set 1	1	2	3	4	5	6	7	8	9	10
Data Set 2	1.1	2	2.3	1.2	3.4	9	2.1	8	9.1	-2
Data Set 3	-1	2	2.3	4	3.8	2.1	7.2	8.2	9.5	10.2
Data Set 4	1	2	3	4	5	6	7	8	9	10
Data Set 5	-1	-2	-3	-4	-5	-6	-7	-8	-9	-10
Data Set 6	1.2	1.4	3.2	4.5	5.3	6.7	7.1	8.2	9.4	10.2
Data Set 7	100	200	300	400	500	600	700	800	900	1000
Data Set 8	5	6	2	8	12	3	65	1	4	7
Data Set 9	2	2	78	5	7	23	4	9	3	6
Data Set 10	8	3	12	3	4	7	2	3	6	5

Results	Excel CORREL Results	WebCab Results
Data Set1 Data Set 2	0.284375299	0.284375299
Data Set1 Data Set 3	0.938112968	0.938112968
Data Set1 Data Set 4	1	1
Data Set1 Data Set 5	-1	-1
Data Set1 Data Set 6	0.994863361	0.994863361
Data Set1 Data Set 7	1	1
Data Set1 Data Set 8	0.154372066	0.154372066
Data Set1 Data Set 9	-0.227156827	-0.227156827
Data Set1 Data Set 10	-0.306136567	-0.306136567

See Also

Correlation Class | Correlation Namespace