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Free Tool · Analyzer

Free Attendance vs Grade Correlation Analyzer

Enter student attendance percentages and grades, compute the Pearson correlation coefficient, visualize the relationship on a live scatter plot, and export a full analysis PDF — no login required.

Runs entirely in your browser · No login · No data uploaded

Class Information
Student Data
📊
Correlation Analysis Preview
Enter student attendance and grade data,
then click Run Correlation Analysis.

How to Analyse Attendance vs Grades in 3 Steps

Follow these steps to get results in under a minute

01
Enter Class & Student Data
Fill in the class name, teacher, and school details. Add student rows with each student's attendance percentage and grade percentage.
02
Run Correlation Analysis
Click Run Correlation Analysis to compute the Pearson r coefficient, classify correlation strength, and render the interactive scatter plot with regression line.
03
Export Full Analysis Report
Review the correlation result, statistical summary, student zone table, and recommendations. Export a print-ready PDF or save the scatter plot as a PNG image.

How Correlation Analyzer Compares

vs spreadsheets, manual processes, and paid platforms

Feature UniCloud360 Correlation Analyzer Manual AnalysisExcel / SheetsSPSS / Stat Software
Pearson r Calculation Auto — instant Manual formula ⚠️ Requires setup Available but complex
Scatter Plot Visualisation Live canvas chart Not available ⚠️ Manual chart creation Available but steep learning curve
Student Zone Classification Colour-coded zones Not available ⚠️ Manual conditional format Not available
PDF Report Export One-click export Not available ⚠️ Manual formatting ⚠️ Export with formatting effort
No Login Required Fully browser-based Local file only ⚠️ Account or licence needed Always requires licence
Instant Recommendations Auto-generated Not available Not available Interpretation manual

What Educators Are Saying

Trusted by lecturers and students across Sri Lankan universities

4.9
★★★★★
4 reviews
AK
Dr. Ananya Krishnan
Head of Academic Affairs
★★★★★

"I ran the analysis on my entire Grade 10 cohort in minutes. The scatter plot makes it immediately clear which students are high performers and which ones are at risk. The PDF export is professional and board-ready."

KM
Mr. Kofi Mensah
Deputy Principal
★★★★★

"Finally a tool that does what SPSS does but without the complexity. The Pearson r score and the recommendation text are exactly what I need to present to my school committee every term."

YT
Ms. Yuki Tanaka
Data Coordinator
★★★★★

"The colour-coded student zones are brilliant. I can immediately identify who is present but underperforming versus who is absent but somehow still scoring well. Very insightful for targeted interventions."

AM
Mr. Arjun Mehta
Form Tutor & IT Lead
★★★★☆

"We integrated this into our end-of-term review process. The scatter plot PNG export is great for slide decks, and the correlation strength badge saves a lot of time in our reporting workflow."

Statistical Foundations

1

Pearson Correlation Coefficient

r = Σ(xi − x̄)(yi − ȳ)
    ────────────────
   √[Σ(xi−x̄)² × Σ(yi−ȳ)²]

Measures the linear relationship between two variables (attendance and grade). Always ranges from −1 to +1. Values near ±1 indicate strong correlation; values near 0 indicate no linear relationship.

2

Correlation Strength Guide

|r| ≥ 0.7 → Strong
0.4 ≤ |r| < 0.7 → Moderate
0.1 ≤ |r| < 0.4 → Weak
|r| < 0.1 → No correlation

Direction matters too: positive r means attendance and grades rise together; negative r means higher attendance is associated with lower grades — often indicating data issues.

3

R² — Coefficient of Determination

R² = r²

e.g. r = 0.85 → R² = 0.72
72% of grade variance
   explained by attendance

R² tells you what proportion of grade variation is explained by attendance. An R² of 0.72 means 72% of grade differences across students can be attributed to their attendance patterns.