Correlation

Calculates the correlation of two sets of numeric data.

Per accedir a esta orde...

From the menu bar:

Choose Data - Statistics - Correlation

From the tabbed interface:

Choose Data - Statistics - Correlation.

On the Data menu of the Data tab, choose Statistics - Correlation.

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.

Dades

Interval d'entrada: la referència de l'interval de les dades a analitzar.

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

Agrupat per

Select whether the input data has columns or rows layout.

Obri un fitxer amb un exemple:

Exemple

Les dades següents s'usen com a exemple

1	Matemàtiques	Física	Biologia
	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	Columna 1	Columna 2	Columna 3
Columna 1	1
Columna 2	-0.4029254917	1
Columna 3	-0.2107642836	0.2309714048	1

Sampling

Descriptive Statistics

Anàlisi de variància (ANOVA)

Correlation

Covariance

Exponential Smoothing

1	Matemàtiques	Física	Biologia
	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	Matemàtiques	Física	Biologia
	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	Matemàtiques	Física	Biologia
	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