An article on the cost of housing in California† included the following statement: "In Northern California, people from the San Francisco Bay area pushed into the Central Valley, benefiting from home prices that dropped on average $4,000 for every mile traveled east of the Bay." If this statement is correct, what is the slope of the least-squares regression line,  ŷ = a + bx,  where  y = house  price (in dollars) and  x = distance  east of the Bay (in miles)?   Explain. This value is the change in the distance east of the bay, in miles, for each increase of $1 in average home price.This value is the change in the distance east of the bay, in miles, for each decrease of $1 in average home price.    This value is the change in the average home price, in dollars, for each increase of 1 mile in the distance east of the bay.This value is the change in the average home price, in dollars, for each decrease of 1 mile in the distance east of the bay.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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An article on the cost of housing in California† included the following statement: "In Northern California, people from the San Francisco Bay area pushed into the Central Valley, benefiting from home prices that dropped on average $4,000 for every mile traveled east of the Bay." If this statement is correct, what is the slope of the least-squares regression line, 
ŷ = a + bx,
 where 
y = house
 price (in dollars) and 
x = distance
 east of the Bay (in miles)?
 
Explain.
This value is the change in the distance east of the bay, in miles, for each increase of $1 in average home price.This value is the change in the distance east of the bay, in miles, for each decrease of $1 in average home price.    This value is the change in the average home price, in dollars, for each increase of 1 mile in the distance east of the bay.This value is the change in the average home price, in dollars, for each decrease of 1 mile in the distance east of the bay.
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