I need help finishing this problem

heres the template

import pandas

import pandas_datareader

from pandas_datareader import data as web

class yahoo_reader():

def __init__(self):

self.provider = 'yahoo'

def getStock(self, stockname, start, end):

return web.DataReader(stockname.upper(), self.provider, start, end)

the task is this -

BUSINESS REQUESTYour supervisor has asked for your assistance integrating stock options data that will be used by your finance department to model a stock options hedge policy for the company. As a result, your supervisor made the followingrequest of you:"Thank you for pulling this data for our analysis. Your work was very helpful during my meeting. I would like your help running a regression on the data you pulled. I am thinking the Dow Jones Industrial Average (DIA) could be predicted by simply taking into consideration the stock values from IBM, Microsoft, and Google. Can you run an ordinary least squares (OLS) regression analysis and tell me what you think? I hope I am on the right track. I heard from others about multicollinearity, but I am not really sure if this is even applicable to what I want. Can you help?"