Üksikelinearne

Üksikelinearne, also known as single linear, refers to a type of linear regression model used in statistics and machine learning. It is a simplified form of multiple linear regression, where the relationship between a single dependent variable and one or more independent variables is modeled. The term "üksikelinearne" is derived from the Estonian language, where "üksike" means single and "linearne" means linear.

In a single linear regression model, the relationship between the dependent variable (Y) and the independent variable (X) is assumed to be linear. The model can be represented by the equation Y = β0 + β1X + ε, where β0 is the y-intercept, β1 is the slope of the line, and ε is the error term. The goal of the model is to find the values of β0 and β1 that minimize the sum of the squared differences between the observed and predicted values of Y.

Single linear regression is widely used in various fields, including economics, finance, and social sciences, to analyze the relationship between two variables. It is a fundamental tool for understanding the impact of one variable on another and making predictions based on observed data. Despite its simplicity, single linear regression can provide valuable insights into the underlying relationships between variables and is an essential building block for more complex regression models.