Correlation

Calculates the correlation of two sets of numeric data.

Pśistup k toś tomu pśikazoju …

Z menijoweje rědki:

Wubjeŕśo Daty – Statistika – Korelacija…

Z pówjercha z rejtarikami:

Wubjeŕśo Daty – Statistika – Korelacija….

Wubjeŕśo Statistika – Korelacija… w meniju Daty rejtarika Daty.

The correlation coefficient (a value between -1 and +1) means how strongly two variables are related to each other. You can use the CORREL function or the Data Statistics to find the correlation coefficient between two variables.

A correlation coefficient of +1 indicates a perfect positive correlation.

A correlation coefficient of -1 indicates a perfect negative correlation

For more information on statistical correlation, refer to the corresponding Wikipedia article.

Data

Input Range: The reference of the range of the data to analyze.

Results to: The reference of the top left cell of the range where the results will be displayed.

Grouped By

Select whether the input data has columns or rows layout.

Dataju z pśikładom wócyniś:

Example

The following data will be used as example

1	Maths	Physics	Biology
	A	B	C
2	47	67	33
3	36	68	42
4	40	65	44
5	39	64	60
6		38	43
7	47	84	62
8	29	80	51
9	27	49	40
10	57	49	12
11	56	33	60
12	57
13	26

The following table displays the results of the correlation of the sample data above.

Correlations	Column 1	Column 2	Column 3
Column 1	1
Column 2	-0.4029254917	1
Column 3	-0.2107642836	0.2309714048	1

Sampling

Descriptive Statistics

Analysis of Variance (ANOVA)

Correlation

Covariance

Exponential Smoothing

1	Maths	Physics	Biology
	A	B	C
2	47	67	33
3	36	68	42
4	40	65	44
5	39	64	60
6		38	43
7	47	84	62
8	29	80	51
9	27	49	40
10	57	49	12
11	56	33	60
12	57
13	26

1	Maths	Physics	Biology
	A	B	C
2	47	67	33
3	36	68	42
4	40	65	44
5	39	64	60
6		38	43
7	47	84	62
8	29	80	51
9	27	49	40
10	57	49	12
11	56	33	60
12	57
13	26

1	Maths	Physics	Biology
	A	B	C
2	47	67	33
3	36	68	42
4	40	65	44
5	39	64	60
6		38	43
7	47	84	62
8	29	80	51
9	27	49	40
10	57	49	12
11	56	33	60
12	57
13	26