📈Regression Analysis
StatisticsOverview
Perform linear and non-linear regression analysis on data sets with visualization
🚀 Intermediate
Regression Analysis
Fit a least-squares line to paired data and inspect the model, residuals, and coefficient of determination.
Slope
1.42
Intercept
0.48
R squared
0.9941
Model
y = 1.42x + 0.48
| x | y | predicted | residual |
|---|---|---|---|
| 1 | 2 | 1.9 | 0.1 |
| 2 | 3.1 | 3.32 | -0.22 |
| 3 | 4.8 | 4.74 | 0.06 |
| 4 | 6.1 | 6.16 | -0.06 |
| 5 | 7.9 | 7.58 | 0.32 |
| 6 | 8.8 | 9 | -0.2 |