Perform the following procedures and present the results. Remember that the data for the latest quarter will be used for testing the forecasts (test data) and not used for developing the forecasting equations.

Prepare forecasting equations for Sales Revenue (y), using Simple Regression Analysis based on Gross Domestic Product, Personal Income, Government Current Receipts and Expenditures, Foreign Transactions (Current Receipts from the Rest of the World), and Gross Saving as independent variables (x). Remember that your independent variables will have to lag one period. You must develop six separate forecasting equations for this section.

	Aug25,2019	Aug26,2018
Sales
Net Sales	$ 4,002.50	$ 4,094.00
Expenses
Cost of sales	$ 2,613.00	$ 2,751.20
Selling general & admin exp.	$ 718.90	$ 742.70
			6 months ended
	Nov24,2019	Nov25,2018	Nov24,2019	Nov25,2018
Sales
Net Sales	$ 4,420.80	$ 4,411.20	$ 8,423.30	$ 8,505.20
Expenses
Cost of sales	$ 2,851.70	$ 2,901.50	$ 5,464.70	$ 5,652.70
Selling general & admin exp.	$ 759.00	$ 753.30	$ 1,477.90	$ 1,496.00
			9 months ended
	Feb23,2020	Feb24,2019	Feb23,2020	Feb24,2019
Sales
Net Sales	$ 4,180.30	$ 4,198.30	$ 12,603.60	$ 12,703.50
Expenses
Cost of sales	$ 2,777.10	$ 2,755.30	$ 8,241.80	$ 8,408.00
Selling general & admin exp.	$ 746.60	$ 696.60	$ 2,224.50	$ 2,192.60