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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