An electronics company is looking to develop a regression model to predict the number of units sold for a special running watch. Data is provided below:

Sales (units)	Price ($)	Advertising ($)
500	100	50
480	120	40
485	110	45
510	103	55
490	108	40
488	109	30
496	106	45

Use model building to determine the best prediction equation for Sales, based on highest adjusted r 2.

Answer

Y = 578.87 - 0.10 X 1 + 50 X 2 where X 1 = price and X 2 = advertising. Adjusted r 2 = 0.7268.

		Y = 578.87 - 0.10 X 1 + 50 X 2 where X 1 = price and X 2 = advertising. Adjusted r 2 = 0.7268.
		Y = 578.87 - 0.10 X 1 + 50 X 2 where X 1 = price and X 2 = advertising. Adjusted r 2 = 0.4268.
		Y = 57.87 - 0.10 X 1 + 50 X 2 where X 1 = price and X 2 = advertising. Adjusted r 2 = 0.7268.
		Y = 578.87 - 0.10 X 1 + 50 X 2 where X 1 = advertising and X 2 = price. Adjusted r 2 = 0.7268.