Procedure

1. Enter X and Y Data Points

   • Input the dataset in the text box using the format:

     x1, y1
               x2, y2
               x3, y3
               ...
               

   • Ensure that each line contains a valid pair of numerical values.

2. Enter Data Weights (Optional)

   • Provide one weight value per line corresponding to each data point.
   • If equal contribution is needed, assign weight = 1 for all points.
   • This step enables Weighted Least-Square Regression.

3. Select Regression Type

   • Choose one of the available curve fitting models from the dropdown menu:
     • Linear Regression (y = mx + b)
     • Polynomial Regression (2nd degree)
     • Exponential Regression (y = a e^(b x))

4. Run Curve Fitting

   • Click the Simulate button.
   • The system will compute regression coefficients using the selected method.

5. View Results

   • Observe the fitted curve displayed graphically in the results section.
   • Numerical outputs such as slope, intercept, regression equation, and errors (if provided) will also appear.

6. Analyze Model Performance

   • Evaluate how closely the fitted curve matches the observed data points.
   • Modify the dataset, change regression type, or adjust weights to compare outcomes.

7. Optional Validation

   • Test multiple regression models to identify which provides the best fit.
   • Check residuals to assess accuracy and curve alignment.