2. The size, x, in square feet, and price, y, in thousands of dollars, for a random sample of 10 homes sold in West Dublin, CA (December 2009) is shown in the below table: 1405 1930 1983 2059 2168...

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Extracted text: 2. The size, x, in square feet, and price, y, in thousands of dollars, for a random sample of 10 homes sold in West Dublin, CA (December 2009) is shown in the below table: 1405 1930 1983 2059 2168 2554 2820 2820 3317 3600 y 615 649 655 680 715 760 865 930 980 1145 a) Use your graphing calculator to create a scattergram. Be sure to include "proper" scales on the axes. Is the data roughly linear?


Extracted text: b) Use your graphing calculator to find the linear regression equation. Use 3 decimal places for both the slope and the y-intercept. c) Use the regression equation to predict the average price for a house with 2300 square feet. Round your answer to the nearest dollar. d) Interpret the slope in terms of the application, i.e. what does the slope mean in this situation? e) How big of a house would you expect to be able to get for $800,000?