Hophicial/Group-19-Crop-Yield-Prediction-MLR-Dashboard

Group 19 — Crop Yield Prediction MLR Dashboard An interactive, high-fidelity web dashboard for the Multiple Linear Regression (MLR) model predicting crop yield, built for the Department of Computer Science, Kwara State University, Malete. # Group 19 — Crop Yield Prediction MLR Dashboard An interactive, high-fidelity web dashboard for the Multiple Linear Regression (MLR) model predicting crop yield, built for the Department of Computer Science, Kwara State University, Malete. This application is designed as a Vercel-ready static web application, requiring no backend database or server, executing all machine learning predictions and visualizations directly in the browser. ## Project Structure * `index.html` — The main user interface structure. * `style.css` — Modern glassmorphism UI styles with custom dark mode and green accents. * `main.js` — Core JavaScript logic containing the DOSM dataset, the regression formula, and Chart.js code for the interactive graphs. * `run_mlr.py` — Python analysis script (uses `pandas`, `statsmodels`, `scipy`) to generate and verify all regression outputs. * `mlr_analysis_results.txt` — Full statistical report of the regression analysis (coefficients, ANOVA, assumptions). * `Nigeria_Synthetic_MLR_Analysis.xlsx` — The FAO Nigerian Rice dataset. ## How the Model Works The web dashboard uses the exact mathematical formula computed from the Ordinary Least Squares (OLS) Multiple Linear Regression model: $$\text{Average Yield } (\hat{y}) = 2543.5717 - 0.000155 \times (\text{Planted Area}) + 0.000091 \times (\text{Rice Production})$$ ### Model Quality: * **$R^2$ (Coefficient of Determination):** **$36.44\%$** (explains 36.44% of yield variance). * **Residual Standard Error (RMSE):** **$141.55$ Kg/Ha** (average prediction error). * **ANOVA p-value:** **$2.28 \times 10^{-4}$** (statistically significant). --- ## Local Execution You can run the web dashboard locally in two ways: ### Option 1: Direct File Open 1. Navigate to your project directory. 2. Double-click `index.html` to open it directly in any modern web browser. ### Option 2: Local Python Server (Recommended) To run a local web server (to test exactly how it behaves on Vercel): 1. Open yo …