Correlation
If Correlation test is selected and and the comparing column contains 4 or more values in the same row the correlation test is calculated. To calculate the if there is a significant significant correlation between the two comparing columns.
The correlation does
not work in DOE mode because there are no pairs in this mode.
Interpretation
The smaller the p value is the more likely there is correlation between the two sets of data.
In Develve for correlation the p value must be below 0.05. Alway check the correlation graph
To see what the relation between the data sets check the Regression result.
Colors of the cells
Green No significant correlation
Yellow Significant correlation
Formula for calculating the correlation r value.
Formula to convert the r to the student t value
With the t value and the degrees of freedom minus 2 can the program interpolate the p value out of the t table.
Example
Between datasets A and D is a correlation (Row Correl p <0.05).
External links