BNAL 306 Strome College of Business Department of Information Technology and Decision Sciences BNAL 306 Business Analytics II Assignment Multiple Regression - Instructions Kroger Inc. would like to investigate the feasibility and future prospects of setting up stores in a county in Virginia. The company has provided you with a sample from a database of household financial variables. They would like you to use regression techniques to predict the monthly expenditure on groceries, for families who either rent or own their homes. The sample contains 100 records. The various fields in the sample are: Observation Observation number in the sample Income1 Annual income of head of household or primary wage earner Income2 Annual income of secondary wage earner Famisize Size of family (number of people permanently residing in the household) Autodebt Automobile related debt pending for wage earners in the household Mortrent Household mortgage payment or rent per month GrocExp Monthly expenditure on groceries Ownrent Categories: owned or rented Loc Location categories: E = East; W = West; N = North; S= South Conduct a multiple regression analysis with GrocExp as the dependent variable and Income1, Income2, Famisize, Autodebt, Ownrent, and