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Statistics question on inferences about the regression parameters .. Please help!?

A real estate appraiser is interested develop a technique to estimate the purchase price of a house in your city. Because the size of the house, measured as the area square meters of heating / cooling area is a very important factor in the cost of a home, the evaluator chooses to use a linear function of the selling price (include, in thousands of U.S. dollars) in the area in square feet (x). A sample of 100 homes sold in three months were collected to estimate the coefficients of the model. Minitab Results: Regression analysis: the price / square footage of the regression equation is price = 28 S = 0.0735 17.2508 square feet R-Sq = 85.1% Q) Interpret the value of the estimated slope the production of int languate the problem.

the slope is indicating that when the square footage of the house increases by one unit, increases in selling prices in thousands of $ 73.5 or $ 0.0735. Or a more simple, cost 73.5 million square feet

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