Linear Regression with multiple variables

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 Linear Regression with multiple variables:

The multiple linear regression explains the relationship between one continuous dependent variable (y) and two or more independent variables (x1, x2, x3… etc).

Note that it says CONTINUOUS dependant variable. Since y is the sum of beta, beta1 x1, beta2 x2 etc, the resulting y will be a number, a continuous variable, instead of a “yes”, “no” answer (categorical).

For example, with linear regression, I would be trying to find out how much Decibels of noise is being produced, and not if it’s noisy or not (Noisy | Not).


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