Calculates key summary measures including mean, median, standard deviation, and variance to help users understand data distribution quickly and effectively.
Estimates the relationship between two variables, providing coefficients, predictions, and model insights to analyze linear associations with ease.
Analyzes the relationship between one dependent variable and multiple independent variables, offering coefficients and statistical measures for comprehensive data modeling.
Measures the strength and direction of the relationship between variables using correlation coefficients, helping identify patterns and associations in data.
Applies mathematical transformations such as logarithmic, square root, or scaling techniques to prepare data for analysis and improve model performance.
Evaluates projects by comparing total expected costs and benefits, helping users make informed economic and financial decisions efficiently.