Advanced Regression Analysis Calculator
How to Use:
- Select the type of Regression Analysis to perform. This calculator fully supports Simple Linear Regression and provides a theoretical guide for Logistic Regression.
- For Linear Regression, enter your comma-separated X (independent) and Y (dependent) data values. Ensure both lists have the same number of data points.
- Click the "Calculate Regression" button.
- The results, including the regression equation, slope, intercept, correlation coefficient (r), and R-squared (r²), will be displayed.
- Click "Show Details" for a comprehensive breakdown of the formulas, theory, and step-by-step calculations.
- Use "Clear All" to reset the form.
Simple Linear Regression
Enter comma-separated numbers.Enter comma-separated numbers. Must have the same count as X values.Logistic Regression
Interactive calculation for Logistic Regression is highly complex and typically requires iterative optimization algorithms (like gradient descent) not suitable for a simple, self-contained JavaScript tool. Below is a guide to its theory and formulas.
Linear Regression Results:
Regression Equation: -
Slope (b₁): -
Y-Intercept (b₀): -
Correlation Coefficient (r): -
Coefficient of Determination (R²): - (-)