Linear Regression Calculator
Calculate the best fit line using least squares regression.
Data Points
Predicted vs Actual
| x | Actual y | Predicted | Residual |
|---|---|---|---|
| 1 | 2 | 2.8000 | -0.8000 |
| 2 | 4 | 3.4000 | 0.6000 |
| 3 | 5 | 4.0000 | 1.0000 |
| 4 | 4 | 4.6000 | -0.6000 |
| 5 | 5 | 5.2000 | -0.2000 |
Best Fit Line
y = 0.6000x + 2.2000
Slope (m)
0.600000
Intercept (b)
2.200000
R-squared
0.600000
Correlation (r)
0.774597
Statistics
Data Points5
Standard Error0.894427
Mean X3.0000
Mean Y4.0000
Sum of Squares
SST (Total)6.0000
SSR (Regression)3.6000
SSE (Error)2.4000
💡
Help us improve!
How would you rate the Linear Regression Calculator?