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A cоmpаny is interested in understаnding the fаctоrs that drive purchase оn their website. They ran a test where they collected data from 2500 visitors to their website and observed if a purchase was made or not. This analysis includes the following variables: Customer ID: Unique identifier for each customer Purchase: 1 = purchased; 0 = did not purchase Female: 1 = Female; 0 = Male Paid Ad: 1 = Arrived on webpage via a paid advertisement; 0 = came from somewhere else Urban: 1 = livesin an urban location; 0 = does not To understand the relationship between these variables and purchase they ran a regression where “Purchase” was the dependent variable. Results appear in the table below. Use these results to answer the following questions: By how much does the probability of purchase change if the individual is female?