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LA Homes, multicollinearity (3)

Now, regress the log transformed variable price on the log transformed variables sqft AND bath. The model is a three dimensional linear regression model where you are predicting price as a plane (think of a piece of paper) above the axes including both sqft and bath.

Cet exercice fait partie du cours

Inference for Linear Regression in R

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Instructions

  • Run a tidy lm on the log transformed variables price and both of sqft and bath from the dataset LAhomes. Use the formula: log(price) ~ log(sqft) + log(bath).
  • Now look at the coefficients separately. What happened to the signs of each of the coefficients? What happened to the significance of each of the coefficients?

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Output the tidy model
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