Multivariate linear regression belongs to which category?

Multivariate linear regression belongs to which category? Correct Answer Supervised learning

In multivariate linear regression the dataset with correct values of the target variable is given to the learner. The correct answers are already given, from which the learner can learn. Hence, it is supervised learning.
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Related Questions

The least squares estimate for the coefficient of a multivariate regression model is exactly regression through the origin with the linear relationships.
What is/are true about ridge regression?
1. When lambda is 0, model works like linear regression model
2. When lambda is 0, model doesn't work like linear regression model
3. When lambda goes to infinity, we get very, very small coefficients approaching
04. When lambda goes to infinity, we get very, very large coefficients approaching infinity.
Polynomial regression and multivariate regression are the same.
Multivariate regression estimates are exactly those having removed the linear relationship of the other variables from both the regressor and response.
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Mean normalization can be used to simplify gradient descent for multivariate linear regression.
In a linear regression problem, we are using "R-squared" to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model. Which of the following option is true?
Assertion (A): If regression coefficient of X on Y is greater than one, regression coefficient of Y on X must be less than one.
Reason (R): The geometric mean between two regression coefficients is the coefficient of correlation.
Assertion (A): If regression coefficient of X on Y is greater than one, regression coefficient of Y on X must be less than one.
Reason (R): The geometric mean between two regression coefficients is the co-efficient of correlation.
On the basis of the above, choose the appropriate answer :
Regression analysis and other multivariate methods are a part of which step of DMAIC process?