Multiple Regression
Analyze relationships between multiple quantitative variables
Explanatory Variables
Response Variable
Regression Results
Regression Equation:
Y = 0.000 + 1.000 × (X1)
Model Summary:
S: 0.000
R²: 1.000
Adjusted R²: 1.000
Coefficients:
| Variable | Coefficient | SE Coefficient | T-Statistic | P-Value |
|---|---|---|---|---|
| Intercept | 0.000 | 0.000 | 0.378 | 0.770 |
| X1 | 1.000 | 0.000 | 919293424403847.625 | 0.000 |
Analysis of Variance:
| Source | df | Sum of Squares | Mean Square | F-Value | P-Value |
|---|---|---|---|---|---|
| Regression | 1 | 2.000 | 2.000 | 8.451004001521529e+29 | 0.000 |
| Error | 1 | 0.000 | 0.000 | ||
| Total | 2 | 2.000 |
Residual Plot
Predicted Values vs Residuals
Residual Distribution
Residuals
Make Prediction
Predicted Y: 0.000