Correlation between several variables

Could anyone help me with the code please, please?

I have a table of 11 variables. Each variable has 500 observations.

The first ten variables (x1 through to x10) are the so-called predicotrs , the last variable is y, which is the dependent variable.

How can I compute the correlation of y with each of the 10 predictors and also determine their signidicance?

Is there a command that allows me to present the result in some sort of table?

Or do I have to construct the for loop?

The task is to find the most 3 correlated variables with y and the least 3 correlated varaibles with y.

My code:

 head(Data)
    
    for i=1:10
        vari=Data(:,i)
        var11=Data(:,11)
        corr(vari,var1)
    end

Do you think this can be improved?

Why can I not do corr(Data(:,1:10),Data(:,11))?

Answer 1

[the cyclist]

I think I would use the corrcoef function:

[r,p] = corrcoef(Data);

and just focus on the last column of the r and p outputs, which will be the correlation and p-value of the y with the 10 explanatory variables.