Regression Calculator

Perform regression analysis and interpret the results. Covers linear, polynomial, and logistic regression with calculations for coefficients, R-squared, p-values, and model diagnostics.

Usage

Provide your data or describe your regression problem to get analysis with interpretation.

Examples

• "Calculate the linear regression for this dataset"
• "What does an R-squared of 0.85 mean?"
• "How do I check if my regression assumptions are met?"

Guidelines

• Always check regression assumptions before interpreting results
• Report R-squared, adjusted R-squared, and p-values for completeness
• Examine residual plots for patterns that indicate model issues
• Avoid extrapolating beyond the range of your training data
• Consider multicollinearity when using multiple predictors