Let's now go ahead and try to make a simple linear regression model and see what are the issues that we face and how can they be resolved to make the model more robust. We will use the advertising data that we used earlier for illustrating the correlation.

The following two methods implement linear regression in Python:

- The
`ols`

method and the`statsmodel.formula.api`

library - The
`scikit-learn`

package

Let's implement a simple linear regression using the first method and then build upon a multiple-linear regression model. We will then also look at how the second method is used to do the same.

Let's first import the `Advertising`

data, as shown:

import pandas as pd advert=pd.read_csv('E:/Personal/Learning/Predictive ...

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