Now in this video we will be discussing about the case study and the data set that we will be using to do linear regression in SAS software. So this is the objective of our project sharp stop is an Indian department to chain promoted by the Kia core group started in the year 1991. With its first tour in Unreal Mumbai, chopper stop limited has been awarded the Hall of Fame and won the emerging market retailer of the Year Award by World retail Congress at Barcelona on April 10 2008 Chapa. store was listed on the Bombay Stock Exchange in 2011. Shop stock has 53 stores in India apart from the physical stores shop stop has a strong online presence through shop stop.com. The retailer is currently trying to understand the drivers of customer satisfaction To improve upon the customer loyalty, the company identified 13 drivers of customer satisfaction each of the drivers was rated on a scale of one that is very bad to 10 Very good.

So it serves 200 customers and came up with the following data this is my data set description my data set means linear underscore reg underscore retail dot SAS seven v deck and I have got total 14 variables as you know in linear regression, all my dependent as well as the independent variables are should be continuous in nature. Here I have one dependent variable which is customer satisfaction. So, my first column is customer satisfaction and then from the second column to 14th column, all our mind independent variables or predictor variables. So, product quality is one independent variable which is measuring the rating on quality of the products sold ecommerce rating on the e commerce infrastructure technical support rating on the technical support team complaint resolution rating on component resolution advertising rating on the advertisement product line waiting on the product line, Salesforce image rating on the sales team competitive pricing rating on the pricing of the product warranty claims rating on the warranty Claims Settlement packaging rating on the packaging of the products order billing rating on order placement and billing issues price flexibility rating on the price flexibility of the products delivery speed rating on the shipment of the products.

So, my first variable our customer satisfaction is my dependent variable and rest of the variables are independent variables. Now, let me let me show you the data set how it looks like this is my data set see this is my customer satisfaction, which is my independent variable that is my first column and then from second column to the 14th column that is from product quality from product quality, delivery speed are my independent variables. So all these variables are continuous in nature. And I have got total 200 observations that are that is 200 rows in my data set. So in this video we'll be doing till here, so let me end this video over here. Thank you.

Good bye. See you all for the next video.