1 00:00:00,580 --> 00:00:02,620 This is our last case study. 2 00:00:03,500 --> 00:00:12,860 Here we have to help John in creating a data driven process for selecting a location for new stores. 3 00:00:14,800 --> 00:00:25,210 John is a finance analytics manager at Steet Retailers, SBA retailers own several grocery stores all 4 00:00:25,210 --> 00:00:26,220 across the country. 5 00:00:28,020 --> 00:00:33,450 And each year they expand their presence by opening some more stores. 6 00:00:35,950 --> 00:00:44,230 John's been invest a large amount of time and effort in selecting the site for new grocery stores. 7 00:00:46,310 --> 00:00:54,020 Now, John wants to make use of the latest skills he has recently acquired to make this process data 8 00:00:54,020 --> 00:00:54,410 driven. 9 00:00:55,580 --> 00:01:03,500 He's thinking of using past data to create a linear regression model to predict new store valuation 10 00:01:03,500 --> 00:01:04,490 and sales. 11 00:01:06,620 --> 00:01:13,460 Now, let's look at the past data that is available to John, and after that we will create a model 12 00:01:13,610 --> 00:01:16,450 to predict the valuation using that data.