The Regression Analysis Tool is a powerful statistical tool designed to help users identify relationships between variables using various regression models. Whether analyzing trends, making predictions, or understanding complex data patterns, this tool supports both linear and logistic regression to provide insightful, data-driven results.

Key Features

✅ Multiple Regression Models – Supports linear regression, logistic regression, and polynomial regression.
✅ Instant Data Analysis – Automatically calculates regression coefficients, R-squared values, and significance levels.
✅ Graphical Visualization – Generates scatter plots, trend lines, and residual analysis charts.
✅ Customizable Inputs – Allows users to define independent and dependent variables for precise analysis.
✅ PDF Report Generation – Export regression results, equations, and visualizations for research or reporting.

Use Cases

📌 Business & Finance Analysts – Predict sales, market trends, and financial risks.
📌 Researchers & Data Scientists – Analyze relationships between different variables in experiments or studies.
📌 Students & Educators – Learn regression modeling and statistical techniques.
📌 Healthcare & Social Sciences – Study risk factors, patient outcomes, and behavioral data trends.

How It Works

1️⃣ Upload or Input Data – Enter datasets with independent and dependent variables.
2️⃣ Select Regression Type – Choose between linear, logistic, or polynomial regression models.
3️⃣ Run Analysis – The tool computes regression equations, coefficients, and statistical significance.
4️⃣ Review Graphical Insights – Analyze scatter plots, prediction lines, and residuals for model accuracy.
5️⃣ Download PDF Report – Export a complete regression analysis report with equations and charts.

This tool simplifies complex data analysis, making regression modeling accessible, accurate, and efficient for users across various industries. 🚀