Load a CSV and inspect it
Start with a CSV that has at least three numeric columns. One row means one observation.
Tool
Multiple Linear Regression Lab
This guide teaches multiple linear regression in five focused steps. Upload one CSV, select several predictors, train live in your browser, and interpret every coefficient clearly.
Guided Multiple Linear Regression Tool
Guided Learning
Step 1 of 5
- 01 Load
- 02 Select
- 03 Base
- 04 Train
- 05 Explain
Upload a CSV file with at least three numeric columns to begin.
Question 1
Question 2
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Pick the output column you want to predict.
X (Predictors)
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Pick one target and at least two predictor columns.
Question 3
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This is your before-training snapshot.
Samples
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Number of rows with valid numeric values for all selected predictors and the target.
Features
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Number of selected predictors and matrix shape used to train the model.
Target Range
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Minimum and maximum values in your target column.
Mean |r|
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Average absolute Pearson correlation between each predictor and target.
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 all predictor values 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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