[The following information applies to the questions displayed below.]

Lexon Inc. is a large manufacturer of affordable DVD players. Management recently became aware of rising expenses resulting from returns of malfunctioning products. As a starting point for further analysis, Paige Jennings, the controller, wants to test different forecasting methods and then use the best one to forecast quarterly expenses for 2019. The relevant quarterly data for the previous three years follow:

2016 Quarter	Return Expenses			2017 Quarter	Return Expenses			2018 Quarter	Return Expenses
1	$	12,000		1	$	12,300		1	$	12,600
2		10,800		2		11,500		2		11,700
3		11,100		3		11,100		3		11,500
4		13,100		4		13,300		4		13,900

The result of a simple regression analysis using all 12 data points yielded an intercept of $11,359.09 and a coefficient for the independent variable of $110.14. (R-squared = 0.16, SE = $938.50.)

Required:

1. Plot the data in the order of the dates. (To earn full credit for this graph you must plot all required points for each curve. While plotting the points a tool icon will pop up. You can use this to enter exact co-ordinates for your points as needed.)

Return Expense 17,000 Tools 16,000 15,000 curve 1 14,000 13,000 12,000 11,000 10,000 9,000 8,000 7,000 6,000 0 2. 2 4 6 8 10 12 14 Quarter