Load a CSV and inspect it
Start with a CSV that has at least two numeric columns. One row means one observation.
Tool
Linear Regression Lab
This guide teaches linear regression in five focused steps. You only need a CSV file: the page explains the math, trains live in your browser, and translates the final model into plain language.
Guided Linear Regression Tool
Guided Learning
Step 1 of 5
- 01 Load
- 02 Pair
- 03 Base
- 04 Train
- 05 Explain
Upload a CSV file with at least two numeric columns to begin.
Question 1
Question 2
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Pick two different numeric columns to define your learning question.
Question 3
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This is your before-training snapshot.
Samples
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Number of valid X-Y row pairs used by the model.
X Range
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Minimum and maximum values in your predictor (X) column.
Y Range
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Minimum and maximum values in your target (Y) column.
Correlation
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Pearson r from -1 to +1. Closer to +/-1 means a stronger linear relationship.
MSE
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Mean Squared Error for the current model. Lower means predictions are closer.
R²
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Variance explained score: 1 is perfect, 0 equals predicting the average target, and negative is worse.
Question 4
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Iteration0/0
Gradient Norm--
Current MSE--
Current R²--
Best MSE--
Best R²--
Training Log
Awaiting dataset...
Question 5
Prediction
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Enter an X value to generate prediction.
Interpretation
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Equation will appear after training.
Complete training to unlock prediction and plain-language interpretation.
Slope Meaning
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Intercept Meaning
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Model Quality
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Plain-English Summary
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Free linear regression calculator for CSV data
Linear Regression Lab is a guided browser tool for learning simple linear regression from real CSV data. Upload a file, choose one predictor column and one target column, then watch the line fit the data while the tool explains slope, intercept, prediction error, and model quality.
What you can learn
Best-fit line
See how the model learns the line that connects X values to predicted Y values.
Model metrics
Track MSE, R-squared, correlation, and training progress without leaving the page.
Plain explanation
Translate the final equation into a human-readable interpretation of the relationship.
FAQ
What is simple linear regression?
It is a method for modeling the relationship between one input variable and one output variable using a straight line.
Can I use my own CSV?
Yes. The CSV needs at least two numeric columns so the tool can choose X and Y values.
What does R-squared mean?
R-squared estimates how much of the target variation is explained by the fitted line.
Does it run locally?
The training experience runs in your browser, which makes it useful for quick lessons and private experiments.