科學
Science AI
Newton's Law of Cooling: Regression Analysis
Investigating factors affecting cooling rates.
Raw Data
| Temp (°C) | Time (s) |
|---|
Analysis Graph
Volume Experiment
Control: Color=0.5, Stoppered=1
Data
| Vol | Start | End | Time |
|---|
Volume Analysis
Surface Color
Controls: Vol=150, Stopper=1
Data
| Color | Start | End | Time |
|---|
Analysis
Lid / Stopper
Controls: Vol=150, Color=0.5
Data
| Stopper | Start | End | Time |
|---|
Analysis
Multivariate Analysis
Aggregates data from all tabs to train a unified prediction model using Gradient Descent.
Assumed Controls for missing data:
- Volume: 150ml
- Stoppered: Yes (1)
- Surface: Not Colored (0.5)
Training Control
Data Points Available:0
Algorithm:Gradient Descent
Predictor
Predicted Time: 0.0s
Model Performance
Actual vs Predicted. A perfect model follows the diagonal line.