Which of the following packages can be used to build a linear regression model in Python?Note: Multiple options can be correct.NumPystatsmodels.apiSKLearnSciPy

The packages that can be used to build a linear regression model in Python are:

1. statsmodels.api: This package provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration.

2. SKLearn: This is one of the most widely used machine learning libraries in Python. It provides a range of supervised and unsupervised learning algorithms. The 'linear_model' module of this library can be used to implement linear regression.

3. SciPy: This library is used for scientific and technical computing. It provides many efficient and user-friendly interfaces for tasks such as numerical integration, interpolation, optimization, linear algebra, and more. The 'stats' module in SciPy can also be used to perform a linear regression.

NumPy, on the other hand, is a package for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. However, it does not directly support building a linear regression model.