From a bunch of data points which look like:

I get correlation coefficients as:

and after paired logistic regression the non-constant coefficients look like the following:

In above, by regressing column 1 on column 2 I get non-constant coeff as -1.258 and after regression column 1 on column 3, I get 0.8473 and so on.

How do I interpret the above numbers?

Edit: I have a system which sends signal to 3 locations every 10 seconds. It gather information about they are active or not. I am trying to understand if there is any relation between those systems in terms of when they are alive.

I calculated correlation using the corr function in matlab.

Thanks

Code:

```
1 1 1
1 1 1
1 1 1
1 0 1
1 0 1
1 0 0
1 0 1
1 0 0
1 0 1
1 0 0
0 1 0
0 1 0
0 1 0
0 1 0
0 1 0
0 1 1
0 0 1
0 0 1
0 0 1
0 0 1
```

Code:

```
1 -0.301511345 0.204124145
-0.301511345 1 -0.287213479
0.204124145 -0.287213479 1
```

Code:

```
xx -1.258 0.8473
-1.258 xx -1.204
0.8473 -1.204 xx
```

How do I interpret the above numbers?

Edit: I have a system which sends signal to 3 locations every 10 seconds. It gather information about they are active or not. I am trying to understand if there is any relation between those systems in terms of when they are alive.

I calculated correlation using the corr function in matlab.

Thanks

Last edited: