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What is Log-Linear Regression Explained about?
Log-linear regression models can approximate non-linear relationships between variables by taking the logarithm of variables with skewed or non-normal distributions. This transformation produces a linear relationship that is easier to model. Specifically, if variables have lognormal distributions, their logarithms will be normally distributed, allowing the use of standard linear regression. Log-linear models are appropriate when dependent and independent variables exhibit lognormal distributions rather than
- Author
- gugugaga
- Language
- EN