In your role as Member of the Data Science Team, you do the following:

$1)$ You obtain a data set for the housing market in Boston's West Roxbury neighborhood.

Note: This dataset is called WEST ROXBURY DATA SETONLY.

$2)$ You follow all the steps to build a First Cut Predictive Model. Note: These steps were

reviewed in avideo by Thomas.

Once the First Cut Predictive Model is done, you put on your Business Development Manager hat

and ask your data science team the following questions:

$1)$ Did you uncover any anomalies in your dataset? If yes, what were the specific anomalies

$($be sure they are different from the ones Thomas pointed out.$)$ Why are they anomalies?

How did you specifically addressthem?

$2)$ From your First Cut Predictive Model are there coefficient estimates whose signs do not

seem to make sense from a theoretical or business perspective? Explain why those signs

do not make sense.

$3)$ What are both $(1)$ the direction $($under$-$predicting or over$-$predicting$)$ and $(2)$ magnitude

of the forecast errors from this First Cut Predictive Model?