Yikes… this title sounds serious, eh? No worries… we can get though it.
We use linear regression when we have variable Y data (output) and variable X data (input) and we want to know if there is correlation between them. We can also handle multiple X’s with some maneuvering.
But what do we do if we have attribute Y data (i.e. pass/fail) and variable X’s? Click here to learn. They also share some interesting data related to the 1986 Space Shuttle Challenger accident.
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