Ordered pair data for a sample of 6 houses was analyzed using least squares regression. X represents the square footage of each house, the smallest having 1,096 square feet and the largest having 1,544 square feet. Y represents the asking price of each house, in thousands of dollars. The least squares regression equation for this data is y = 87.63 + 0.06x. Use this information to calculate the predicted asking price, in dollars, for a house having 1200 square feet.