Shows the Correlation Probability report, which is a matrix of p-values. Each p-value corresponds to a test of the null hypothesis that the true correlation between the variables is zero. This is a test of no linear relationship between the two response variables.
The default confidence coefficient is 95%. Use the Set α Level option to change the confidence coefficient.
The diagonal elements of the matrix are a function of how closely the variable is a linear function of the other variables. In the inverse correlation, the diagonal is 1/(1 – R2) for the fit of that variable by all the other variables. If the multiple correlation is zero, the diagonal inverse element is 1. If the multiple correlation is 1, then the inverse element becomes infinite and is reported missing.
The Hotelling’s T2 Test report gives the following:
Gives the value of the test statistic. If you have n rows and k variables, the F ratio is given as follows:
The p-value for the test. Under the null hypothesis the F ratio has an F distribution with n and n - k degrees of freedom.
Shows statistics that correspond to the estimation method selected in the launch window and the presence or absence of missing data. If there are no missing observations, this option is available only for the Robust method. If there are missing observations, this option is available for all estimation methods except for Pairwise. The option is never available for Pairwise. For the REML, ML, or Robust methods, the mean vector and covariance matrix are estimated by the selected method. For the Row-wise method, all rows with at least one missing value are excluded from the calculation of means and variances.
Set α Level
Four alpha values are listed: 0.01, 0.05, 0.10, and 0.50. Select Other to enter any other value.
The Color Map menu contains three types of color maps.
Principal components is a technique to take linear combinations of the original variables. The first principal component has maximum variation, the second principal component has the next most variation, subject to being orthogonal to the first, and so on. For details, see the chapter Principal Components.
See Local Data Filter, Redo Menus, and Save Script Menus in the Using JMP book for more information about the following options:

Help created on 7/12/2018