Ch3 Part EL: Labs!Required informationLab 3-6(Static) Comprehensive Case: Create a Data Abstract and Perform Regression Analysis-Dillard's (LO 3-4)Part 1 of 2Case Summary: After running a diagnostic analysis on Dillard's transactions, you have found that there is a statistically ?* significant difference between the amount of money customers spend in online transactions versus in-person transactions. You decide to take this a step further and design a predictive model to help determine how much a customer will spend based on the transaction type (online or in-person). You will run a simple regression to create a predictive model using one explanatory variable in Part 1, and in Part 2 you will extend your analysis to add in an additional explanatory variabletender type (the method of payment the customer chooses).Data: Dillard's sales data are available only on the University of Arkansas Remote Desklop (wattonlaburckedul Use your assigned login credentials.Lab 3-6 Part 1(Static): Objective Questions (LO 3-4)OC1. Using the regression formula, what is the predicted amount a customer will spend on an online transaction?Note: Round your answer to 2 decimal places.Predicted amount a customer will spend on an online transactionOQ2. What is the R Square value?Note: Round your answer to 5 decimal places.R Square value