Here's the snippet to create the regression RDD of labeled points that we will be using to predict the number of hours people work:

mu, std = sModel.mean[3], sModel.std[3]

final_data_hours = (
    final_data
    .map(lambda row: reg.LabeledPoint(
        row[1][3] * std + mu
        , ln.Vectors.dense([row[0]] + list(row[1][0:3]) + list(row[1][4:]))
        )
)