This question requires the use of Python. Load the dataset titled GoalsData.csv from course

web$-$site or Teams into a Pandas data frame. The dataset contains data for season goals

$(Y_i),$ field time in minutes $(x_{i1}),$ injuries $(x_{i2})$ and contract status $(D_i)$ for several players

on a hypothetical sports team.

$($a$)(14$ points$)$ Regress season goals on field time, injuries, and player contract status. That

is$,$ use OLS to estimate the following multiple regression model:

$Y_i={}_0+{}_1{x}_{i1}+{}_2{x}_{i2}+{}_1{D}_i+u_i,$

Print your regression output.

$($b$)(6$ points$)$ Comment on your estimates. What can we learn about the relationship

between the regressors and season goals based on these estimates?