5. Confounding variables and multiple regressions Suppose you are interested in studying the effect of square footage on the price of houses. You propose the following regression of housing prices on square footage: price = Bo+P sqft + u where price the price of the house sqft the square footage of the house residual Failing to account for the number of bathrooms in a house, which may influence housing prices and may be positively correlated with square footage, could lead to estimate of the effect . This issue of confounding variables would likely bias the estimate of

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5. Confounding variables and multiple regressions
Suppose you are interested in studying the effect of square footage on the price of houses.
You propose the following regression of housing prices on square footage:
price - Bo + P sqft + u
where
price the price of the house.
sqft = the square footage of the house
residual
Failing to account for the number of bathrooms in a house, which may influence housing prices and may be positively correlated with square footage,
could lead to
estimate of the effect . This issue of confounding variables would likely bias the estimate of
Transcribed Image Text:5. Confounding variables and multiple regressions Suppose you are interested in studying the effect of square footage on the price of houses. You propose the following regression of housing prices on square footage: price - Bo + P sqft + u where price the price of the house. sqft = the square footage of the house residual Failing to account for the number of bathrooms in a house, which may influence housing prices and may be positively correlated with square footage, could lead to estimate of the effect . This issue of confounding variables would likely bias the estimate of
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