In what scenarios would you prefer Polynomial Regression over Simple Linear Regression?
- When the data is categorical
- When the relationship is linear
- When the relationship is logarithmic
- When the relationship is quadratic or higher-order
Polynomial Regression is preferred over Simple Linear Regression when the relationship between the dependent and independent variables is not linear but can be modeled as a polynomial (quadratic, cubic, etc.). Polynomial regression can capture more complex patterns in the data, making it suitable for non-linear relationships.
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