STATISTICAL ANALYSIS
Multiple Linear Regression
Model one response variable using multiple predictors with coefficient diagnostics, ANOVA, VIF, residual diagnostics, ANOVA, and a standardized Study Report.
Required Data Structure
Use a CSV or pasted table where the first row contains column names and each following row contains numeric observations.
- One response column (Y)
- Two or more numeric predictor columns (X variables)
- Rows with missing or nonnumeric selected values are ignored
| Strength | Temperature | Pressure | FeedRate |
|---|---|---|---|
| 48.2 | 120 | 42 | 5.1 |
| 49.5 | 125 | 43 | 5.0 |
| 50.1 | 130 | 44 | 5.2 |
Input Data
Hold Ctrl/Cmd to select multiple predictors.