MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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**Regression Analysis and House Pricing**

Regression analysis was applied between House Price (in $1000s) and square footage of the house, and the following regression function was obtained:

\[ \hat{y} = 100 + 5x \]

The above equation implies that an increase of _____.

- ○ 1 in square footage is associated with an increase of $5,000 in price
- ○ 5 in square footage is associated with an increase of $1,000 in price
- ○ $1 in square footage is associated with an increase of $5,000 in price
- ○ 1 in square footage is associated with an increase of $56,000 in price

This equation demonstrates how variations in the square footage (x) affect the predicted house price (\(\hat{y}\)). The coefficient of \(x\), which is 5, indicates the change in price per unit increase in square footage.
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Transcribed Image Text:**Regression Analysis and House Pricing** Regression analysis was applied between House Price (in $1000s) and square footage of the house, and the following regression function was obtained: \[ \hat{y} = 100 + 5x \] The above equation implies that an increase of _____. - ○ 1 in square footage is associated with an increase of $5,000 in price - ○ 5 in square footage is associated with an increase of $1,000 in price - ○ $1 in square footage is associated with an increase of $5,000 in price - ○ 1 in square footage is associated with an increase of $56,000 in price This equation demonstrates how variations in the square footage (x) affect the predicted house price (\(\hat{y}\)). The coefficient of \(x\), which is 5, indicates the change in price per unit increase in square footage.
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