The descriptive statistics reveal that the average ${varXName} was ${xMean}, while the average ${varYName} was ${yMean}. The key finding from the correlational analysis is a Pearson's r of ${correlation}. This value indicates a ${getCorrelationDescription(correlation)}. The visual representation of this relationship is provided in the scatter plot, which illustrates the data points and the general trend.

4.0 Conclusion

The analysis suggests a ${getCorrelationDescription(correlation, true)} between ${varXName} and ${varYName}. These findings have implications for stakeholders and policymakers, providing empirical evidence on how these two aspects of the economy interact. Further research with a larger dataset is recommended to validate these results.

`; document.getElementById('fullReport').innerHTML = reportHTML; } function getCorrelationDescription(r, simple = false) { const absR = Math.abs(r); let strength = ''; if (absR >= 0.7) strength = 'strong'; else if (absR >= 0.4) strength = 'moderate'; else if (absR >= 0.1) strength = 'weak'; else strength = 'very weak or non-existent'; const direction = r > 0 ? 'positive' : 'negative'; if (simple) return `${strength} ${direction} relationship`; return `${strength} ${direction} correlation`; } // --- Tab Navigation --- function changeTab(tabIndex) { currentTab = tabIndex; document.querySelectorAll('.tab-btn').forEach((btn, i) => btn.classList.toggle('tab-active', i === tabIndex)); document.querySelectorAll('.tab-content').forEach((content, i) => content.classList.toggle('tab-content-active', i === tabIndex)); updateNavButtons(); if (tabIndex === 1) { runAnalysis(); } else if (tabIndex === 2) { generateReport(); } } function navigateTabs(direction) { if (direction === 'next' && currentTab < totalTabs - 1) { changeTab(currentTab + 1); } else if (direction === 'prev' && currentTab > 0) { changeTab(currentTab - 1); } } function updateNavButtons() { const prevBtn = document.getElementById('prev-btn'); const nextBtn = document.getElementById('next-btn'); if (!prevBtn || !nextBtn) return; prevBtn.disabled = currentTab === 0; nextBtn.style.display = currentTab === totalTabs - 1 ? 'none' : 'inline-block'; } // --- PDF Generation --- function downloadPDF() { const { jsPDF } = window.jspdf; const doc = new jsPDF({ unit: 'pt', format: 'a4' }); const reportTitle = document.getElementById('reportTitle').value; const author = document.getElementById('authorName').value || "N/A"; const reportDate = "September 18, 2025"; const { varXName, varYName, count, xMean, yMean, xStdDev, yStdDev, correlation } = analysisResults; const pageWidth = doc.internal.pageSize.getWidth(); const margin = 60; let cursorY = 0; // --- Title Page --- doc.setFont('times', 'bold'); doc.setFontSize(24); doc.text(reportTitle, pageWidth / 2, pageHeight / 2 - 60, { align: 'center', maxWidth: pageWidth - margin*2 }); doc.setFontSize(14); doc.setFont('times', 'normal'); doc.text(`Prepared by: ${author}`, pageWidth / 2, pageHeight / 2 + 20, { align: 'center' }); doc.text(`Date: ${reportDate}`, pageWidth / 2, pageHeight / 2 + 40, { align: 'center' }); doc.addPage(); cursorY = margin; // --- Main Content --- const addSection = (title, bodyText) => { if (cursorY > doc.internal.pageSize.getHeight() - 100) { doc.addPage(); cursorY = margin; } doc.setFont('times', 'bold'); doc.setFontSize(16); doc.text(title, margin, cursorY); cursorY += 25; doc.setFont('times', 'normal'); doc.setFontSize(12); const textLines = doc.splitTextToSize(bodyText, pageWidth - margin * 2); doc.text(textLines, margin, cursorY); cursorY += textLines.length * 14 + 20; }; const introText = `This report examines the relationship between two key economic variables: ${varXName} and ${varYName}. The primary objective is to determine the nature and strength of the correlation between these variables based on the provided dataset.`; addSection("1.0 Introduction", introText); const methodText = `The analysis is based on a dataset of ${count} observations. The methodology involves calculating descriptive statistics and a Pearson correlation coefficient (r) to quantify the linear relationship. The data was also visualized using a scatter plot.`; addSection("2.0 Methodology", methodText); // Add analysis table if (cursorY > doc.internal.pageSize.getHeight() - 150) { doc.addPage(); cursorY = margin; } doc.setFont('times', 'bold'); doc.setFontSize(14); doc.text("3.0 Results", margin, cursorY); cursorY += 20; // Draw table header doc.setFont('times', 'bold'); doc.text("Variable", margin + 20, cursorY); doc.text("Mean", margin + 250, cursorY); doc.text("Std. Dev.", margin + 350, cursorY); cursorY += 10; doc.setDrawColor(100); doc.line(margin, cursorY, pageWidth - margin, cursorY); cursorY += 15; // Draw table rows doc.setFont('times', 'normal'); doc.text(varXName, margin + 20, cursorY, {maxWidth: 200}); doc.text(xMean, margin + 250, cursorY); doc.text(xStdDev, margin + 350, cursorY); cursorY += 15; doc.text(varYName, margin + 20, cursorY, {maxWidth: 200}); doc.text(yMean, margin + 250, cursorY); doc.text(yStdDev, margin + 350, cursorY); cursorY += 15; doc.line(margin, cursorY, pageWidth - margin, cursorY); cursorY += 20; const correlationText = `The Pearson's r is ${correlation}, indicating a ${getCorrelationDescription(correlation)}.`; doc.text(correlationText, margin, cursorY); cursorY += 30; // Add Chart if (chartInstance) { const chartImg = chartInstance.toBase64Image(); if (cursorY > doc.internal.pageSize.getHeight() - 250) { doc.addPage(); cursorY = margin; } doc.addImage(chartImg, 'PNG', margin, cursorY, pageWidth - margin * 2, 200); cursorY += 220; } const conclusionText = `The analysis suggests a ${getCorrelationDescription(correlation, true)} between ${varXName} and ${varYName}. Further research with a larger dataset is recommended to validate these results.`; addSection("4.0 Conclusion", conclusionText); // Add Footer with page numbers const pageCount = doc.internal.getNumberOfPages(); for(let i = 1; i <= pageCount; i++) { doc.setPage(i); if (i > 1) { // No footer on title page doc.setFontSize(10); doc.text(`Page ${i-1} of ${pageCount - 1}`, pageWidth / 2, doc.internal.pageSize.getHeight() - 30, { align: 'center' }); } } doc.save('Economics-Research-Report.pdf'); }