How canI find the relation between a binary and continuous variables? (In MatLab)

[Mike]

I have an EA that I regularly backtest and optimize. I want to determine a relationship between the probability of a given trade being profitable and a certain statistical measure called kurtosis at the time the trade was initiated.

I programmed my EA to generate a .csv file containing each trade's profit/loss alongside the proper kurtosis value.

Excerpt:

PROFIT KURTOSIS

-41.82 2.97530011

-61.82 3.12553938

-45.82 2.32907776

-100.82 1.9039837

-14.82 2.35415757

-30.82 2.23130752

-75.82 2.76931501

-62.82 1.60114237

28.18 3.29114443

12.18 2.99822995

6.18 2.27906841

-76.82 1.59931087

1.18 6.21691918

54.18 3.15778944

24.18 4.98645291

2.18 2.84275644

33.18 2.36483006

18.18 2.17924754

-160.82 1.86165136

51.18 1.90035084

...

etc

[/CODE]

I am not interested in the discrete sum of profit/loss, so I replaced all p/l values with binary values: 1 if the trade was profitable and 0 if it was not profitable.

Excerpt:

[CODE]

PROFIT KURTOSIS

0 2.97530011

0 3.12553938

0 2.32907776

0 1.9039837

0 2.35415757

0 2.23130752

0 2.76931501

0 1.60114237

1 3.29114443

1 2.99822995

1 2.27906841

0 1.59931087

1 6.21691918

1 3.15778944

1 4.98645291

1 2.84275644

1 2.36483006

1 2.17924754

0 1.86165136

1 1.90035084

Now what I want to do is to determine the relationship (if any).

Normally I would use a polynomial regression, but this makes no sense when one of the variables is binary.

I have read of something called logistic regression, but I can't seem to figure out how to do it with MatLab.

If someone could give me some instructions and possibly some tips on interpreting the results I would really appreciate it. If you know of another way to achieve a relation between the two variables I'd like to hear that too.