Which of the following is true regarding linear and logistic regression techniques?

The statement that they are used to establish relationships between variables is accurate because both linear and logistic regression techniques are fundamentally designed to analyze and model the relationships between a dependent variable and one or more independent variables.

Linear regression is typically employed when the dependent variable is continuous, allowing for the assessment of how changes in the independent variables influence the outcome. On the other hand, logistic regression is used when the dependent variable is categorical, such as binary outcomes. Both methods are grounded in statistical analysis, which focuses on quantifying relationships and making predictions based on observed data.

Understanding that these regression techniques establish relationships helps in various applications, such as predictive modeling and identifying the strength and nature of relationships among variables in data analysis and decision-making processes.