Which tool is used to perform regression analysis in Alteryx?

The Linear Regression tool is specifically designed for performing regression analysis in Alteryx, making it the correct choice. This tool allows users to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.

When utilizing the Linear Regression tool, users can assess the strength and direction of relationships between variables, perform hypothesis testing, and generate important metrics such as R-squared values. This deep understanding of relationships is essential for making predictions and informing decision-making based on the modeled data.

In contrast, other tools in the list serve different purposes. The Forecast tool focuses on time series predictions rather than traditional regression analysis. The Logistic Regression tool is used for binary outcomes, modeling probabilities rather than straight numerical predictions that the Linear Regression tool addresses. Finally, while a Modeling tool could refer to any tool used for building models, it lacks the specificity and functionality of the Linear Regression tool for conducting regression analysis. Hence, when the goal is to perform regression analysis, the Linear Regression tool is the appropriate option.