How to do Sensitivity Analysis with data in a table?

Hello together,

I importet data into Matlab from an excel file and created new columns as follows:

...
t.X1 = ((t.currentassets - t.currentliabilities) ./ t.totalassets);
t.X2 = (t.retainedearnings ./ t.totalassets);
t.X3 = (t.ebit ./ t.totalassets);
t.X4 = (t.marketvalueofequity ./ t.totalliabilities);
t.X41 = (t.bookvalueofequity ./ t.totalliabilities);
t.X5 = (t.revenue ./ t.totalassets);
t.Z1 = ((1.2*t.X1)+(1.4*t.X2)+(3.3*t.X3)+(0.6*t.X)+(0.999*t.X5));
t.Z2 = ((0.717*t.X1)+(0.847*t.X2)+(3.107*t.X3)+(0.42*t.X41)+(0.998*t.X5));
t.Z3 = ((6.56*t.X1)+(3.26*t.X2)+(6.72*t.X3)+(1.05*t.X4));

Now I want to do a sensitivity analysis and /or identify elements in my input set that heavily influence the Z scores.

Has anyone an idea how to approach this problem?

Thank you for your help!