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
.
Este ejercicio forma parte del curso
Inference for Linear Regression in R
Instrucciones del ejercicio
- Run a
tidy
lm
on the log transformed variablesprice
and both ofsqft
andbath
from the datasetLAhomes
. 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?
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# Output the tidy model