2 Part 2 of 5 Required Information Lab Note: The tools presented in this lab periodically change. Updated instructions, if applicable, can be found in the eBook and lab walkthrough videos in Connect. Case Summary: After running 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 varlable in Part 1, and in Part 2 you will extend your analysis to add in an additional explanatory variable-tender type (the method of payment the customer chooses). of Arkansas Remote Desktop (waltonlab uark.edu). See your Data: Dillard's sales data are available only on the Univ Instructor for login credentials. OQ1. 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. Answer is complete but not entirely correct. Predicted amount a customer will spend on an online transaction OQ2. What is the R Square value? Note: Round your answer to 5 decimal places. Answer is complete and correct. R Square value 0.00873 25.00 X

Requiled Informotion Lab Note: The tools presented in this lab periodically change Updated instructions, if applicable, can be found in the ebook and lab walkthrough videos in Connect Cose Summary: After running 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 wili spend based on the transaction type (onitine 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 variable--tender type (the method of payment the customer chooses) Data: Dillard's sales data are avaliable only on the University of Arkansas Remote Desktop (wationiabivark.edu). See your instructor for login credentials. OQ1. Using the regression formula, what is the ptedicted amount a customer wili spend on an online transaction? Note: Round your answer to 2 decimal places. Answer is complete but not entirely correct. OQ2 What is the R Square value? Note: Round your onswer to 5 declmal places. Requiled Informotion Lab Note: The tools presented in this lab periodically change Updated instructions, if applicable, can be found in the ebook and lab walkthrough videos in Connect Cose Summary: After running 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 wili spend based on the transaction type (onitine 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 variable--tender type (the method of payment the customer chooses) Data: Dillard's sales data are avaliable only on the University of Arkansas Remote Desktop (wationiabivark.edu). See your instructor for login credentials. OQ1. Using the regression formula, what is the ptedicted amount a customer wili spend on an online transaction? Note: Round your answer to 2 decimal places. Answer is complete but not entirely correct. OQ2 What is the R Square value? Note: Round your onswer to 5 declmal places