**Explain LOGARITHM:** If y = 10x, then log(y) = x. Working with the log of one or more of a model's variables, instead of their original values, can make it easier to model relationships with linear functions instead of non-linear ones. Linear functions are typically easier to use in data analysis. (The log(y) = x example shown is for log base 10. Natural logarithms, or log base e—where e is a specific irrational number a little over 2.7—are a bit more complicated but also very useful for related tasks.) See also dependent variable, linear regression.

Different definitions in web development like **logarithm** in Dictionary L.

- Manual Linear Algebra:
- Meaning mathematics dealing with vector spaces and operations on them such as addition and multiplication. “Linear algebra is designed to represent systems of linear equations. Linear equations are designed logarithm.
- Manual Linear Regression:
- Meaning for a linear relationship (that is, one where the relationship between two varying amounts, such as price and sales, can be expressed with an equation that you can represent as a straight line on a logarithm.
- Manual Latent Variable:
- Meaning latent variables (from Latin: present participle of lateo ('lie hidden'),as opposed to observable variables), are variables that are not directly observed but are rather inferred (through a logarithm.
- Manual Lift:
- Meaning frequency of an observed pattern with how often you’d expect to see that pattern just by chance... If the lift is near 1, then there’s a good chance that the pattern you observed is occurring just by logarithm.
- Manual Logistic Regression:
- Meaning A model similar to linear regression but where the potential results are a specific set of categories instead of being continuous. See continuous variable, regression, linear regression logarithm.