Simple linear regression model


Assume that a simple linear regression model is appropriate for describing the relationship between y = house price and x = house size (sq ft) for houses in a large city. The true regression line is y = 24,000 + 41x and s = 5000.

(a) What is the average change in price associated with one extra sq ft of space?

With an additional 100 sq ft of space?

(b) What proportion of 2000 sq ft homes would be priced over $110,000? (Round your answer to four decimal places.)

Under $100,000? (Round your answer to four decimal places.)

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Basic Statistics: Simple linear regression model
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