The correlation coefficient of two random variables is a measure of their linear dependence. Read more from Matlab . Before we start selecting parameters for inputs and targets it is wise to see the overview of relation between each other attributes. There are two important parameters to understand the Correlation Coefficients.

• R = corrcoef(A) returns the matrix of correlation coefficients for A, where the columns of A represent random variables and the rows represent observations.


• P-values. It range from 0 to 1, where values close to 0 correspond to a significant correlation in R and a low probability of observing the null hypothesis.

Now to start the process Click the Process Correlation button below.

Matlab Will run background after you start process correlation.The Result is stored in R x P Matrix format in JSON files. The left select option is attribute which you want to find relationship with other(multiple select option). For example click Roll from left and you may want to see how it is correlated and significant with others from seccond option say choose Surge Velocity , Sway Velocity and Yaw Velocity.Once You are done with selection of attributes then click on "Display Result" button to the see plot.Press Control button on Key board for multiple selection.

To see the result , Please click on Display Result